265

References

266

Research papers/articles

Adams, R. M., Berger, A. N., & Sickles, R. C. (2011) Semi-parametric approaches to Stochastic

Panel Frontiers with Applications in the Banking Industry. Journal of Business & Economic

Statistics, 17(3), 349–358.

Al-Faraj, T. N., Alidi, A.S., & Bu-Bhsait, K. A. (1993). Evaluation of bank branches by means of

data envelopment analysis. International Journal of Operations and Production Management, 13,

45-52.

Ali, A., & Seiford, L. (1990). Translation invariance in data envelopment analysis. Operations

Research Letters, 9(6), 403–405.

Amiri, M. P. (2010). Project selection for oil-fields development by using the AHP and fuzzy

TOPSIS methods. Expert Systems with Applications, 37(9), 6218-6224.

Amiri, M., Zandieh, M., Vahdani, B., Soltani, R., & Roshanaei, V. (2010). An integrated

eigenvector–DEA–TOPSIS methodology for portfolio risk evaluation in the FOREX spot market.

Expert Systems with Applications, 37(1), 509-516.

Amirteimoori, A., & Kordrostami, S. (2005). Allocating fixed costs and target setting : A DEA-

based approach, Applied Mathematics and Computation, 171, 136–151.

Amirteimoori, A., & Tabar, M. M. (2010). Resource allocation and target setting in data

envelopment analysis. Expert Systems with Applications, 37(4), 3036–3039.

Amores, A. F., & Contreras, I. (2009). New approach for the assignment of new European

agricultural subsidies using scores from data envelopment analysis : Application to olive-growing

farms in Andalusia (Spain). European Journal of Operational Research, 193(3), 718–729.

Andersen, P., & Petersen N.C., (1993). A Procedure for Ranking Efficient Units in Data

Envelopment Analysis, Management Science, 39(10), 1261-1264.

Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo

evidence and an application for employment equations. Review of Economic Studies, 58: 277-

297.

Arianyan, E., Tarighi, M., Ahmadi, M., & Yari, A. (2011). Virtual Machine Reallocation in Data

Centers through Multi Parameter Decision Making Model. Management, 16, 211-216.

Assaf, A. G. (2012). Benchmarking the Asia Pacific tourism industry : A Bayesian combination

of DEA and stochastic frontier. Tourism Management. 30: 1-6.

Atkinson, S. E., Cornwell, C., & Honerkamp, O. (2003). Measuring and Decomposing

Productivity Change. Journal of Business & Economic Statistics, 21(2), 284–294.

267

Avikiran, N. K., (2010). Association of DEA super-efficiency estimates with financial ratios:

Investigating the case for Chinese banks, Omega 39, 323-334.

Avkiran, N. K. (1999). An application reference for data envelopment analysis in branch banking:

helping the novice researcher. International Journal of Bank Marketing, 17(5), 206-220.

Avkiran, N. K., & Morita, H. (2010). Benchmarking firm performance from a multiple-

stakeholder perspective with an application to Chinese banking. Omega, 38(6), 501–508.

Awasthi, A., Chauhan, S. S., & Omrani, H. (2011). Application of fuzzy TOPSIS in evaluating

sustainable transportation systems. Expert Systems with Applications, 38(10), 12270-12280.

Awasthi, A., Chauhan, S. S., Omrani, H., & Panahi, A. (2011). A hybrid approach based on

SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Computers &

Industrial Engineering, 61(3), 637-646.

Aya˘g Z., O¨zdemir R.G. (2012). Evaluating machine tool alternatives through modified TOPSIS

and alpha-cut based fuzzy ANP. International Journal of Production Economics, 13, 17-57.

Azadeha, A., Ghaderia, S.F. , Omranib, H. , & Eivazya H. (2009). An integrated DEA–COLS–

SFA algorithm for optimization and policy making of electricity distribution units. Energy Policy,

37(7), 2605–2618.

Azadeh, a., Ghaderi, S. F., & Maghsoudi, A. (2008). Location optimization of solar plants by an

integrated hierarchical DEA PCA approach. Energy Policy, 36(10), 3993–4004.

Azadeh, A., Ghaderi, S. F., & Nasrollahi, M. R. (2011). Location optimization of wind plants in

Iran by an integrated hierarchical Data Envelopment Analysis. Renewable Energy, 36(5), 1621–

1631.

Azadeh, A., Ghaderi, S. F., Mirjalili, M., & Moghaddam, M. (2011). Integration of analytic

hierarchy process and data envelopment analysis for assessment and optimization of personnel

productivity in a large industrial bank. Expert Systems With Applications, 38(5), 5212–5225.

Bailey, D. Von, Biswas, B., Kumbhakar, S. C., & Schulthies, B. K. (2011). An Analysis of

Technical, Allocative and Scale Inefficiency : The Case of Ecuadorian Dairy Farms. Western

Journal of Agricultural Economics, 14(1), 30–37.

Bal, H., Orkcu H.H., & Celebioglu, S., (2008). A new method based on the dispersion of weights

in data envelopment analysis. Journal of Computers and Industrial Engineering, 54(3), 502–512.

Balcombe, K., Fraser, I., & Kim, J. H. (2006). Estimating technical efficiency of Australian dairy

farms using alternative frontier methodologies. Applied Economics, 38(19), 2221–2236.

Balf, F. R., Rezai, H. Z., Jahanshahloo, G.R. & Lotfi F.H. (2012). Ranking efficient DMUs using

the Tchebycheff norm. Applied Mathematical Modelling, 36(1), 46–56.

268

Ball S. & Korukoğlu S. (2009). Operating system selection using fuzzy AHP and TOPSIS

methods. Mathematical and Computational Applications, 14(2), 119-130.

Baltagi, B., & Wu, P. (1999). Unequally spaced panel data regression with AR (1) disturbances.

Econometric Theory, 15,814-823.

Baltas, G. (2005). Exploring consumer differences in food demand: a stochastic frontier

approach. British Food Journal, 107(9), 685–692.

Banker, R. D. (1984). Estimating most productive scale size using data envelopment analysis.

European Journal of Operational Research, 17, 35-44.

Banker, R. D., Conrad, R. F., & Stŕauss, R. P. (2011). A Comparative Application of Data

Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production.

Management Science Management, 32(1), 30–44.

Banker, R. D., Morey, R. C., & Morey, C. (2011). Efficiency Analysis for Exogenously Fixed

Inputs and Outputs. Operations Research, 34(4), 513–521.

Banker, R.D, Charnes, A., & Cooper, W.W. (1984). Some models for estimating technical scale

inefficiencies in Data Envelopment Analysis, Management Science, 30(9), 1078-1092.

Barros, C. P., & Dieke P. (2007). Performance evaluation of Italian airports: A data envelopment

analysis. Journal of Air Transport Management 13,184–191.

Barros, C.P., & Peypoch, N. (2009). An evaluation of European airlines’ operational

performance. International Journal of Production Economics, 122, 525–533.

Battese, G. E., & Coelli, T. J. (1992.). Frontier Production Functions, Technical Efficiency and

Panel Data: With Application to Paddy Farmers in India*. The Journal of Productivity Analysis,

56(3), 153-169.

Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic

frontier production function for panel data. Empirical Economics, 20(2), 325–332.

Battese, G. E., Coelli, T. J. & Colby T.C. (1989). Estimation of Frontier Production Functions

and The Efficiencies of Indian Farms using Panel Data from ICRISAT’s village Level Studies.

(33).

Beasley, J. E. (2003). Allocating fixed costs and resources via data envelopment analysis.

European Journal of Operational Research, 41(6), 198–216.

Behzadian, M., Otaghsara, S. K., Yazdani, M. & Ignatius, J. (2012). A state-of the-art survey of

TOPSIS applications. Expert Systems with Applications, 36(17), 13051-13069.

Berger and Humphrey (1997). Efficiency of financial institutions: International survey and

directions for future research. European Journal of Operational Research, 98, 175-212.

269

Bhimani, A. (1993), Performance measures in UK manufacturing companies: the state of play,

Management Accounting, 71(11), 20-24.

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data

models. Journal of Econometrics, 87, 115-143.

Boles, J. S., Donthu, N., & Lohtia, R. (2012). Salesperson Evaluation Using Relative

Performance Efficiency: The Application of Data Envelopment Analysis. The Journal of

Personal Selling and Sales Management, 15(3), 31-49.

Boran, F. E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group

decision making for supplier selection with TOPSIS method. Expert Systems with Applications,

36(8), 11363-11368.

Bottani, E., & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics

services. Supply Chain Management: An International Journal, 11(4), 294-308.

Botti, L., Briec, W., & Cliquet, G. (2009). Plural forms versus franchise and company-owned

systems: A DEA approach of hotel chain performance. Omega, 37(3), 566–578.

Boussofiane, A., Dyson, R.G., & Thanassoulis, E. (1991). Applied data envelopment analysis.

European Journal of Operational Research, 52, 1-15.

Burgess, J. F., Wilson, P. W., & Wilson, J. P. W. (2011). Hospital Technical Ownership and

Inefficiency. Management, 42(1), 110–123.

Buzzell, R. D., Gale, B. T., & Sultan, R.G.M. (1975). Market share A key to profitability.

Harvard Business Review, 53(1), 97-106.

Byrnes, P., & Freeman, M., (1999). Using DEA Measures of Efficiency and Effectiveness in

Contractor Performance Fund Allocation. Public Productivity and management Review, 23(2),

210–224.

Calhoun, B. D, (2004). Using the Balanced Scorecard to Determine Corporate Information

Needs, Corporate Information Environment. Autumn Quarter, University College.

Camanho, A. S., & Dyson, R. G. (2005). Cost Efficiency, Production and Value-Added Models

in the Analysis of Bank Branch Performance. The Journal of the Operational Research Society

56(5), 483–494.

Cavallaro, F. (2010). Fuzzy TOPSIS approach for assessing thermal-energy storage in

concentrated solar power (CSP) systems. Applied Energy, 87(2), 496-503.

Chakraborty, K., Biswas, B., & Lewis, W.C. (2001). Measurement of Technical Efficiency in

Public Education: A Stochastic and Nonstochastic Production Function Approach. Southern

Economic Journal, 67, 889-905.

270

Chamodrakas, I., Alexopoulou, N., & Martakos, D. (2009). Customer evaluation for order

acceptance using a novel class of fuzzy methods based on TOPSIS. Expert Systems with

Applications, 36(4), 7409-7415.

Chan, J. W. K., & Tong, T. K. L. (2007). Multi-criteria material selections and end-oflifeproduct

strategy: Grey relational analysis approach. Materials and Design,28(5), 1539–1546.

Chang, C.H., Lin, J.J., Lin, J.H., & Chiang, M.C. (2010). Domestic open-end equity mutual fund

performance evaluation using extended TOPSIS method with different distance approaches.

Expert Systems with Applications, 37(6), 4642-4649.

Charnes, A., Cooper, W. W, & Rhodes E, (1978). Measuring the efficiency of decision making

units. European Journal of Operational Research, 2(6), 429-444.

Charnes, A., Cooper, W.W., & Thrall, R.M. (1988). Classifying and characterizing efficiencies

in data envelopment analysis. Operations Research Letters, 5(3), 105-110.

Charnes, A., Cooper, W.W., Golany, B., Seiford L., & Stutz J. (1985). Foundations of data

envelopment analysis for Pareto-Koopmans efficient empirical production functions. Journal of

Econometrics, 30, 91-107.

Chen Y. W., Larbani, M., & Chang, Y. P. (2009), Multiobjective data envelopment analysis.

Journal of the Operational Research Society, 60, 1556 –1566.

Chen, J., & Chen, I. (2011). Inno-Qual efficiency of higher education : Empirical testing using

data envelopment analysis. Expert Systems With Applications, 38(3), 1823–1834.

Chen, J. K., & Chen, I. S. (2010). Using a novel conjunctive MCDM approach based on

DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher

education. Expert Systems with Applications, 37(3), 1981-1990.

Chen, L., & Ray, S. C. (2013). Cost efficiency and scale economies in general dental practices in

the US: a non-parametric and parametric analysis of Colorado data. Journal of the Operational

Research Society, 64, 762–774.

Chen, T. Y. (2002). A Comparison of Chance-Constrained DEA and Stochastic Frontier

Analysis: Bank Efficiency in Taiwan. The Journal of the Operational Research Society, 53(5),

492-500.

Chen, Y., Gregoriou, G. N., & Douglas, F. (2009). Efficiency persistence of bank and thrift CEOs

using data envelopment analysis. Computers & Operations Research, 36, 1554–1561.

Chen, Y., Li, K. W., Xu, H. and Liu, S. (2009), “A DEA-TOPSIS method for multiple criteria

Chen, Ye, Li, K. W., & Liu, S. F. (2011). An OWA-TOPSIS method for multiple criteria decision

analysis. Expert Systems with Applications, 38(5), 5205-5211.

271

Chiou, Y., Lan, L. W., & Yen, B. T. H. (2010). A joint measurement of efficiency and

effectiveness for non-storable commodities : Integrated data envelopment analysis approaches.

European Journal of Operational Research, 201(2), 477–489.

Choudhari, S., & Tripathy, A. (2004). Measuring Bank Performance: An Application of DEA.

Prajnan, 32, 287-304.

Chu, J., & Su, Y. (2012). The Application of TOPSIS Method in Selecting Fixed Seismic Shelter

for Evacuation in Cities. Systems Engineering Procedia, 3(2011), 391-397.

Chu, T. C., & Lin, Y. C. (2003). A Fuzzy TOPSIS Method for Robot Selection. The International

Journal of Advanced Manufacturing Technology, 21(4), 284-290.

Chu, T. C., & Lin, Y. C. (2009). An interval arithmetic based fuzzy TOPSIS model. Expert

Systems with Applications, 36(8), 10870-10876.

Churilov, L., & Flitman, A. (2006). Towards fair ranking of Olympics achievements: the case of

Sydney 2000. Computers & Operations Research, 33(7), 2057–2082.

Clarke P, (1995). Non-financial measures of performance in management, Accountancy Ireland,

27 (2), 22-4.

Cook, W. D., & Seiford, L. M. (2009). Data envelopment analysis (DEA)-Thirty years on.

European Journal of Operational Research, 192: 1-17.

Cullmann, A. & Hirschhausen C. (2008). From transition to competition, Dynamic efficiency

analysis of Polish electricity distribution companies. Economics of Transition, 16(2), 335–357.

Dag˘deviren M. & Yavuz S., & Kılınç N. (2009). Weapon selection using the AHP and TOPSIS

methods under fuzzy environment. Expert Systems with Applications, 36 (1) 8143–8151.

Dai, L., & Wang, J. (2011). Evaluation of the Profitability of Power Listed Companies Based on

Entropy Improved TOPSIS Method. Procedia Engineering, 15, 4728-4732.

Datta, D. (2011). The Relative of Canadian Efficiencies Universities : A DEA. Canadian Public

Policy, 24(4), 485–511.

Deng, H., Yeh, C.-hsing, & Willis, R. J. (2000). Inter-company comparison using modified

TOPSIS with objective weights. Computers & Operations Research, 27.

Dittman, D. A., Capettini, R., & Morey, R. C. (1991). Measuring efficiency in acute care

hospitals: An application of data envelopment analysis. Journal of Health Resources

Administration, 14, 89-108.

Doyle, J. R., & Green, R. H. (1995), “Cross-evaluation in DEA: Improving discrimination among

DMUs”, INFOR, 33(3), 205–222.

272

Doyle, J., R. & Green, R. H. (1994), “Efficiency and cross-efficiency in DEA: Derivations,

meanings and uses”, Journal of the Operational Research Society, 45(5), 567-578.

Drucker, P.E, (1990). The emerging theory of manufacturing. Harvard Business Review,

May/June, 94-102.

Duffy, J.A. M., Fitzsimmons, J.A. & Jain, N. (2006), “Identifying and studying “best-performing

services”, Benchmarking: An International Journal, 13(3), 232-251.

Durand, R., & Vargas, V. (2003). Ownership, Organization, and Private Firms' Efficient Use of

Resources. Strategic Management Journal, 24, 667-675.

Eccles, R. G, (1991). The Performance Measurement Manifesto. Harvard Business Review, Jan-

Feb, pp.131-137.

Eccles, R.G. & Pyburn, P.J. (1992). Creating a comprehensive system to measure performance –

financial results should not generate the most rewards. Management Accounting, 74 (4), 41-4.

Eckles, J. E. (2010). Evaluating the Efficiency of Top Liberal Arts Colleges. Research in Higher

Education, 24, 266–293.

Eilat, H., Golany, B., & Shtub, A. (2006). Constructing and evaluating balanced portfolios of

R&D projects with interactions: A DEA based methodology. European Journal of Operational

Research, 172(3), 1018–1039.

Emrouznejad, A., Parker, B. R., & Tavares, G. (2008). Evaluation of research in efficiency and

productivity: A survey and analysis of the first 30 years of scholarly literature in DEA. Socio-

Economic Planning Sciences, 42, 151-157.

Engineering, Vol.18 No 4, pp 489-507.

Eraslan, E., & Iç, Y. T. (2011). A multi-criteria approach for determination of investment regions:

Turkish case. Industrial Management & Data Systems, 111(6), 890-909.

Erbetta, F., & Rappuoli, L. (2008). Optimal scale in the Italian gas distribution industry using

data envelopment analysis. Omega, 36, 325–336.

Ertug˘rul I. & Karakasog˘lu N. (2009). Performance evaluation of Turkish cement firms with

fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36(1),

702–715.

Essid, H., Ouellette, P., & Vigeant, S. (2010). Economics of Education Review Measuring

efficiency of Tunisian schools in the presence of quasi-fixed inputs : A bootstrap data

envelopment analysis approach. Economics of Education Review, 29, 589–596.

273

Falagario, M., Sciancalepore, F., Costantino, N., & Pietroforte, R. (2012). Using a DEA-cross

efficiency approach in public procurement tenders. European Journal of Operational Research,

218(2), 523–529.

Fare, R., Grosskopf, S. & Hernandez-Sancho, F. (2004). Environmental performance: an index

number approach. Resource and Energy Economics, 26(4), 343–352.

Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical

Society. 120 (3), 253-281.

Ferrier, G. D., & Valdmanis, V. G. (2011). Do mergers improve hospital productivity ? Analysis,

55(10), 1071–1080.

Fukuyamal, H., & Weber, W. L. (2011). Evaluating public school district performance via DEA

gain functions. Journal of the Operational Research Society, 53(9), 992–1003.

Garfamy, R. M. (2006). A data envelopment analysis approach based on total cost of ownership

for supplier selection. Journal of Enterprise Information Management, 19(6), 662–678.

George, S. A. & Rangaraj, N. (2008). A performance benchmarking study of Indian Railway

Gligoric, Z., Beljic, C., & Simeunovic, V. (2010). Shaft location selection at deep multiple

orebody deposit by using fuzzy TOPSIS method and network optimization. Expert Systems with

Applications, 37(2), 1408-1418.

Gorman, M. F., & Ruggiero, J. (2008). Evaluating US state police performance using data

envelopment analysis. Production, 113, 1031–1037.

Grady, M.W. (1991). Performance measurement: implementing strategy. Management

Accounting, 72 (12), 49-53.

Graham, D. J. (2008). Productivity and efficiency in urban railways : Parametric and non-

parametric estimates. Transportation Research, 44, 84–99.

Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a two- step

fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36(2), 4067-4074.

Gutie, E. (2008). Data envelopment analysis of mutual funds based on second-order stochastic

dominance. European Journal of Operational Research, 189, 230–244.

Hadad, Y., Friedman, L., Stern, S., & Mehrez, A. (2003). DEA super efficiency multi-stage

ranking. Computer Modelling and New Technologies, 7, 37-46.

Hao L., & Xie Q.S. (2006). Application of TOPSIS in the Bidding Evaluation of Manufacturing

Enterprises, Proceedings of e-ENGDET, 184-188.

Harris, J., Ozgen, H., & Ozcan, Y. (2000). Do Mergers Enhance the Performance of Hospital

Efficiency? The Journal of the Operational Research Society, 51, 801-811.

274

He, T., Ho, W., Man, C. L. K., & Xu, X. (2012). A fuzzy AHP based integer linear programming

model for the multi-criteria transshipment problem. The International Journal of Logistics

Management, 23(1), 159-179.

Helvoigt, T.L., & Darius, M. A. (2009). A stochastic frontier analysis of technical progress,

efficiency change and productivity growth in the Pacific Northwest sawmill industry. Forest

Policy and Economics, 11(4), 280-287.

Hiebert, L. (2011). The Determinants of the Cost Efficiency of Electric Generating Plants: A

Stochastic Frontier Approach. Southern Economic Journal, 68(4), 935–946.

Hosseinzadeh, L. F., Fallahnejad, R. and Navidi, N. (2011). Ranking efficient units in DEA by

using TOPSIS method. Applied Mathematical Sciences, 5(17), 805-815.

Hou, X., Chang, K., Wang, Q., & Li., C. (2013). State Ownership, Foreign Minority

Shareholders, and the Efficiency of Chinese Commercial Banks. Emerging Markets Finance &

Trade, 49(2), 70-90.

Hsieh, L. F., Chin, J. B., & Wu, M. C. (2006). Performance evaluation for university electronic

libraries in Taiwan. The Electronic Library, 24(2), 212-224.

Hung, S., Lu, W., & Wang, T. (2010). Benchmarking the operating efficiency of Asia container

ports. European Journal of Operational Research, 203(3), 706–713.

Hwang C. L. & Yoon K. (1981). Multiple attributes decision making methods and applications.

Berlin: Springer.

İÇ, Y. T., & Yurdakul, M. (2010). Development of a quick credibility scoring decision support

system using fuzzy TOPSIS. Expert Systems with Applications, 37(1), 567-574.

Jacobs, R. (2000). Alternative Methods to Examine Hospital Efficiency: Data Envelopment

Analysis and Stochastic Frontier Analysis. Discussion Paper

Jahanshahloo, G.R., & Shahmirzadi P.F. (2013). New methods for ranking decision making units

based on the dispersion of weights and Norm1 in Data Envelopment Analysis. Computers and

Industrial Engineering, 65(2), 187–193.

Jahanshahloo G.R., Hosseinzadeh Lotfi F., & Izadikhah M. (2006), Extension of the TOPSIS

method for decision-making problems with fuzzy data. Applied Mathematics and Computation,

181(2), 1544–1551.

Jahanshahloo, G. R. and Fallahnejad, R. (2012). Obtaining a unique solution for cross efficiency

in order to rank DMUs in data envelopment analysis. International Journal of Applied

Mathematics and Statistics, 25(1), 86-97.

275

Jahanshahloo, G. R., Hosseinzadeh Lotfi, F., & Davoodi, a. R. (2009). Extension of TOPSIS for

decision-making problems with interval data: Interval efficiency. Mathematical and Computer

Modelling, 49(5-6), 1137-1142.

Jahanshahloo, G. R., Khodabakhshi, M., Hosseinzadeh Lotfi, F., & Moazami Goudarzi, M. R.

(2011). A cross-efficiency model based on super-efficiency for ranking units through the TOPSIS

approach and its extension to the interval case. Mathematical and Computer Modelling, 53(9-10),

1946-1955.

Jahanshahloo, G. R., Lotfi, F. H., & Akbarian, D. (2007). A new DEA ranking system based on

changing the reference set. European Journal Of Operational Research, 181, 331–337.

Jain, S., Triantis, K. P., & Liu, S. (2011). Manufacturing performance measurement and target

setting: A data envelopment analysis approach. European Journal of Operational Research,

214(3), 616–626.

Jamali, R., & Tooranloo, H. S. (2009). Prioritizing academic library service quality indicators

using fuzzy approach: Case study: libraries of Ferdowsi University. Library Management,

30(4/5), 319-333.

Jiang, J., Chen, Y. Chen, Y. & Yang, K. (2011). TOPSIS with fuzzy belief structure for group

belief multiple criteria decision making. Expert Systems with Applications, 38(8), 9400-9406.

Johnes, J., & Yu, L. (2008). China Economic Review Measuring the research performance of

Chinese higher education institutions using data envelopment analysis. China Economic Review,

19(4), 679–696.

Jolai, F., Yazdian, S. A., Shahanaghi, K., & Azari Khojasteh, M. (2011). Integrating fuzzy

TOPSIS and multi-period goal programming for purchasing multiple products from multiple

suppliers. Journal of Purchasing and Supply Management, 17(1), 42-53.

Journals, P. M. (2011a). A Study of the Relative Efficiency of Bank Branches : An Application of

Data Envelopment Analysis. Analysis, 41(7), 591–597.

Journals, P. M. (2011b). Development of a Financial Performance Index for Hospitals : DEA

Approach. Society, 47(1), 18–26.

Journals, P. M. (2011c). Do mergers enhance the performance of hospital efficiency ? Society,

51(7), 801–811.

Journals, P. M. (2011d). Guiding Schools to Improved Performance Using Data Envelopment

Analysis : An Illustration with Data from a Local Education Authority. Journal of the

Operational Research Society, 45(11), 1247–1262.

276

Journals, P. M. (2012a). Determining a sequence of targets in DEA. Society, 56(12), 1439–1447.

doi:10.1057/palgrave.jors.2601964

Journals, P. M. (2012b). financial strength indicators : of. Society, 59(6).

doi:10.1057/palgrave.jors.2602442

Juan, Y. (2009). A hybrid approach using data envelopment analysis and case-based reasoning for

housing refurbishment contractor’s selection and performance improvement. Expert Systems with

Applications, 36(3), 5702–5710.

Kabak, M., Burmaoğlu, S., & Kazançoğlu, Y. (2012). A fuzzy hybrid MCDM approach for

professional selection. Expert Systems with Applications, 39(3), 3516-3525.

Kao, C., & Hwang, S.N. (2008). Efficiency decomposition in two-stage data envelopment

analysis: An application to non-life insurance companies in Taiwan. European Journal of

Operational Research, 185(1), 418–429.

Kao, C., & Liu, S. (2009). Stochastic data envelopment analysis in measuring the efficiency of

Taiwan commercial banks. European Journal of Operational Research, 196(1), 312–322.

Kaplan, R.S., & Norton, D.P. (1992). The Balanced Scorecard-Measurement That Drive

Performance, Harvard Business Review-Jan-Feb, 71-79.

Kaya, T., & Kahraman, C. (2011). Multicriteria decision making in energy planning using a

modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38(6), 6577-6585.

Kelemenis, A., Ergazakis, K., & Askounis, D. (2011). Support managers’ selection using an

extension of fuzzy TOPSIS. Expert Systems with Applications, 38(3), 2774-2782.

Köksal, G., & Nalçaci, B. (2006). The Relative Efficiency of Departments at a Turkish

Engineering College: A Data Envelopment Analysis. Higher Education, 51, 173-189.

Korhonen, P., & Syrjänen, M. (2004). Resource Allocation Based on Efficiency Analysis.

Management Science, 50, 1134-1144.

Korpela, J., Lehmusvaara, A., & Nisonen, J. (2007). Warehouse operator selection by combining

AHP and DEA methodologies. International Journal of Production Economics, 108(1-2), 135–

142.

Koster, M.B.M., Balk, B.M. and Nus, W.T.I. (2009). On using DEA for benchmarking container

terminals. International Journal of Operations and Production Management. 29(11), 1140-1155.

Krasnikov, A., Jayachandran, S., & Kumar, V. (2009). The Impact of Customer Implementation

on Cost and Profit Efficiencies : Evidence from the U. S. 73(11), 61–76.

Krohling, R. A., & Campanharo, V. C. (2011). Fuzzy TOPSIS for group decision making: A case

study for accidents with oil spill in the sea. Expert Systems with Applications, 38(4), 4190-4197.

277

Kuah, C. T., & Wong, K. Y. (2011). Efficiency assessment of universities through data

envelopment analysis. Procedia Computer Science, 3, 499–506.

Kumar, U. D., Roy, A. B., Saranga, H., & Singal, H. (2010). Analysis of hedge fund strategies

using slack-based DEA models. Journal of the Operational Research Society, 61, 1746 –1760.

Kutlu, A. C., & Ekmekçioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy

TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(1), 61-67.

L, M. (1999). Productivity and customer satisfaction in Swedish pharmacies: A DEA network

model. European Journal of Operational Research, 39(3), 384–458. doi:10.1016/S0377-

2217(98)00177-5

Lauterbach, B., & Vaninsky, A. (1999). Ownership Structure and Firm Performance : Evidence

from Israel. Journal of Management, 189–201.

Lee, H., Park, Y., & Choi, H. (2009). Comparative evaluation of performance of national R & D

programs with heterogeneous objectives : A DEA approach. European Journal of Operational

Research, 196(3), 847–855.

Leitner, A. K., Prikoszovits, J., Schaffhauser-linzatti, M., & Leitner, K. (2011). The Impact of

Size and Specialisation on Universities’ Department Performance : A DEA Analysis Applied to

Austrian Universities. Higher Education, 53, 517-538.

Li, X., Wang, K., Liu, L., Xin, J., Yang, H., & Gao, C. (2011). Application of the Entropy Weight

and TOPSIS Method in Safety Evaluation of Coal Mines. Procedia Engineering, 26, 2085-2091.

Li, Y., Liu, X., & Chen, Y. (2011). Selection of logistics center location using Axiomatic Fuzzy

Set and TOPSIS methodology in logistics management. Expert Systems with Applications, 38(6),

7901-7908.

Li, Z., Crook, J., & Andreeva, G. (2013). Chinese companies distress prediction: an application of

data envelopment analysis. Journal of the Operational Research Society, 9,1–14.

Liao, C.-N., & Kao, H.-P. (2011). An integrated fuzzy TOPSIS and MCGP approach to supplier

selection in supply chain management. Expert Systems with Applications, 38(9), 10803-10811.

Elsevier Ltd. doi:10.1016/j.eswa.2011.02.031

Lin, H. (2010a). An efficiency-driven approach for setting revenue target. Decision Support

Systems, 49(3), 311–317.

Lin, H. (2010b). Personnel selection using analytic network process and fuzzy data envelopment

analysis approaches. Computers & Industrial Engineering, 59(4), 937–944.

Lin, M. C., Wang, C. C., Chen, M. S., & Chang, C. A. (2008). Using AHP and TOPSIS

approaches in customer-driven product design process. Computers in Industry, 59(1), 17-31.

278

Lin, Y. K., & Yeh, C. T. (2012). Multi-objective optimization for stochastic computer networks

using NSGA-II and TOPSIS. European Journal of Operational Research, 218(3), 735-746.

Lins, M. E., Oliveira, L. B., da Silva, A. C. M., Rosa, L. P., & Pereira, A. O. (2012). Performance

assessment of Alternative Energy Resources in Brazilian power sector using Data Envelopment

Analysis. Renewable and Sustainable Energy Reviews, 16(1), 898–903.

Liu, C. H., Lin, S. J., & Lewis, C. (2010). Evaluation of thermal power plant operational

performance in Taiwan by data envelopment analysis. Energy Policy, 38(2), 1049–1058.

Liu, J. (2000). Using data envelopment analysis to compare suppliers for supplier selection and

performance improvement. Supply Chain Management: An International Journal, 4(2), 13–150.

Liu, S. (2008). A fuzzy DEA / AR approach to the selection of flexible manufacturing systems.

Computers & Industrial Engineering, 54, 66–76.

Lotfi, F. H., Allahviranloo, T., Jondabeh, M. A., & Kiani, N. A. (2007). A New Method for

Complex Decision Making Based on TOPSIS for Complex Decision Making Problems with

Fuzzy Data, 1(60), 2981-2987.

Lovell, C. A. K. and Rouse, A. P. B. (2003), “Equivalent standard DEA models to provide

superefficiency scores”, Journal of the Operational Research Society, Vol. 54 No.1, pp.101–108.

Lozano, S., & Gutie rrez, E. (2008). Data envelopment analysis of mutual funds based on second-

order stochastic dominance. European Journal of Operational Research, 189, 230–244.

Lozano, S., & Villa, G. (2005). Determining a Sequence of Targets in DEA. The Journal of the

Operational Research Society, 56, 1439-1447.

Lozano, S., & Villa, G. (2009). Multi-objective target setting in data envelopment analysis using

AHP. Computers & Operations Research, 36, 549–564.

Lozano, S., Villa, G., & Adenso-dã, B. (2004). Centralised target setting for regional recycling

operations using DEA. Omega, 32, 101–110.

Lser, G., & Ksal, K. (2011). The Relative Efficiency of Departments at a Turkish Engineering

College : A Data Envelopment Analysis Author ( s ): Gülser Köksal and Burak Nalçaci Reviewed

work ( s ): Published by : Springer content in a trusted digital archive . We use information tech.

Higher Education, 51(2), 173–189. doi:10.1007/sl0734-004-6380-y

Madlener, R., Antunes, C. H., & Dias, L. C. (2009). Assessing the performance of biogas plants

with multi-criteria and data envelopment analysis. European Journal of Operational Research,

197(3), 1084–1094.

Operations Management: Theory and Practice by B. Mahadevan, Pearson Education India, 2010,

pp (132-134).

279

Mahmoodzadeh, S., Shahrabi, J., Pariazar, M., & Zaeri, M. S. (2007). Project Selection by Using

Fuzzy AHP and TOPSIS Technique. Engineering and Technology, 333-338.

Malekmohammadi, N., Hosseinzadeh, F., & Jaafar, A. B. (2011). Target setting in data

envelopment analysis using MOLP. Applied Mathematical Modelling, 35(1), 328–338.

Mancebon, M. J., & Molinero, C. M. (2011). Performance in primary schools. Banker, 51(7),

843–854.

Manoochehri, G. (1999). The road to manufacturing excellence: using performance measures to

become world-class. Industrial Management. March-April, 7-13.

Margaritis, D., & Psillaki, M. (2010). Capital structure, equity ownership and firm performance.

Journal of Banking & Finance, 34(3), 621–632.

Mentes, A., & Helvacioglu, I. H. (2012). Fuzzy decision support system for spread mooring

system selection. Expert Systems with Applications, 39(3), 3283-3297.

Mester, L. J. (1996). A study of bank efficiency taking into account risk-preferences. Journal of

Banking and Finance. 20(6), 1025-45.

Mikaeil, R., Yousefi, R., & Ataei, M. (2011). Sawability ranking of carbonate rock using fuzzy

analytical hierarchy process and TOPSIS approaches. Scientia Iranica, 18(5), 1106-1115.

Mohajeri, N., & Amin, G. R. (2010). Computers & Industrial Engineering Railway station site

selection using analytical hierarchy process and data envelopment analysis. Computers &

Industrial Engineering, 59(1), 107–114.

Monchuk, D. C., Chen, Z., & Bonaparte, Y. (2010). China Economic Review Explaining

production inefficiency in China’s agriculture using data envelopment analysis and semi-

parametric bootstrapping. China Economic Review, 21(2), 346–354.

Morais, P., & Camanho, A. S. (2011). Evaluation of performance of European cities with the aim

to promote quality of life improvements. Omega, 39(4), 398–409.

Mousavi-Avval, S. H., Rafiee, S., & Mohammadi, A. (2011). Optimization of energy

consumption and input costs for apple production in Iran using data envelopment analysis.

Energy, 36(2), 909–916.

Mousavi-Avval, S. H., Rafiee, S., Jafari, A., & Mohammadi, A. (2011). Optimization of energy

consumption for soybean production using Data Envelopment Analysis (DEA) approach. Applied

Energy, 88(11), 3765–3772.

Mulwa, M. R., Emrouznejad, a., & Murithi, F. M. (2009). Impact of liberalization on efficiency

and productivity of sugar industry in Kenya. Journal of Economic Studies, 36(3), 250–264.

280

Muralidhar, P., Ravindranath, K., & Srihari, V. (2012). Evaluation of Green Supply Chain

Management Strategies Using Fuzzy AHP and TOPSIS. Engineering, 2(4), 824-830.

Nigam, V., Thakur, T., Sethi, V. K. and Singh, R. P. (2012). Benchmarking of Indian mobile

telecom operators using DEA with sensitivity analysis. Benchmarking: An International Journal,

19(2), 219-238.

Odeck, J. (2007). Measuring technical efficiency and productivity growth: a comparison of SFA

and DEA on Norwegian grain production data. Applied Economics, 39(20), 2617–2630.

Omid, M., Ghojabeige, F., Delshad, M., & Ahmadi, H. (2011). Energy use pattern and

benchmarking of selected greenhouses in Iran using data envelopment analysis. Energy

Conversion and Management, 52(1), 153–162.

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative

analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.

Oral, M., Kettani, O., & Lang, P. (1991). A Methodology for Collective Evaluation and Selection

of Industrial R and D Projects. Management Science, 37(7), 871–885.

Ozcan, Y. A., & McCue, M. J. (1996). Development of a Financial Performance Index for

Hospitals: DEA Approach. The Journal of the Operational Research Society, 47, 18-26.

Pal, M. N., & Choudhury, K. (2009). Exploring the Dimensionality of Service Quality: An

Application of TOPSIS in the Indian Banking Industry. Society, 26(1), 115-133.

Paradi, J. C., Rouatt, S., & Zhu, H. (2011). Two-stage evaluation of bank branch efficiency using

data envelopment analysis. Omega, 39(1), 99–109.

Park, J., Lee, S., & Kang, H. Bin. (2009). The insurance distribution systems and efficiency in the

property-casualty insurance industry. Managerial Finance, 35(8), 670–681.

Parker, D. (2012). Before of BAA & After Privatisation A DEA Study. Transport Economics,

33(2), 133–145.

Pastor, J. and Ruiz, J. (2007), “Variables with negative values in DEA”, In Zhu, J. and Cook, W

Peng, Y., Wang, G., & Wang, H. (2012). User preferences based software defect detection

algorithms selection using MCDM. Information Sciences, 191, 3-13.

Perçin, S. (2009). Evaluation of third-party logistics (3PL) providers by using a two-phase AHP

and TOPSIS methodology. Benchmarking: An International Journal, 16(5), 588-604.

Perera, S., & Skully, M. (2012). On the cross-methodological validation of bank efficiency

assessments. Studies in Economics and Finance, 29(1), 26–42.

Pestana, C., & Dieke, P. U. C. (2007). Performance evaluation of Italian airports : A data

envelopment analysis. Journal of Air Transport Management, 13, 184–191.

281

Pestana, C., & Peypoch, N. (2009). An evaluation of European airlines’ operational performance.

International Journal of Production Economics, 122(2), 525–533.

Poister, T. H. (2003). A book on Measuring Performance in Public and Non-profit Organizations.

Pollitt, M. G., & Pollitt, B. M. G. (2011). Ownership and Efficiency in Nuclear Power

Production. Production, 48(2), 342–360.

Polychroniou, P. V., & Giannikos, I. (2009). A fuzzy multicriteria decision-making methodology

for selection of human resources in a Greek private bank. Career Development International,

14(4), 372-387.

Pratsini, E., (2011). Frontier Analysis in Air Pollution. The Journal of the Operational Research

Society, 50(5), 526–530.

Psillaki, M., Tsolas, I. E., & Margaritis, D. (2010). Evaluation of credit risk based on firm

performance q. European Journal of Operational Research, 201(3), 873–881.

Rahman, S., Odeyinka, H., Perera, S., & Bi, Y. (2012). Product-cost modelling approach for the

development of a decision support system for optimal roofing material selection. Expert Systems

with Applications, 39(8), 6857-6871.

Raju, K. S., & Kumar, D. N. (2006). Ranking Irrigation Planning Alternatives Using Data

Envelopment Analysis. Water Resources Management, 553–566.

Ramanathan R. (2005). Operations assessment of hospitals in the Sultanate of Oman.

International Journal of Operations and Production Management, 25(1), 39-54.

Ramanathan, R. (2007). Supplier selection problem : integrating DEA with the approaches of

total cost of ownership and AHP. International Journal, 4, 258–261.

Ramezani, M., Bashiri, M., & Atkinson, A. C. (2011). A goal programming-TOPSIS approach to

multiple response optimization using the concepts of non-dominated solutions and prediction

intervals. Expert Systems with Applications, 38(8), 9557-9563.

Ray, S. C. (2011). Resource-use Efficiency in Public Schools: A Study of Connecticut Data.

Management, 37(12), 1620–1628.

Reifschneider, D., & Stevenson, R. (2011). Osaka University Systematic Departures from the

Frontier : A Framework for the Analysis of Firm Inefficiency. Economics Department of the

University of Pennsylvania Institute of Social and Economic Research.

Roh, E. Y., & Choi, K. (2010). International Journal of Hospitality Management Efficiency

comparison of multiple brands within the same franchise : Data envelopment analysis approach.

International Journal of Hospitality Management, 29, 92–98.

282

Rosko, M. D., Chilingerian, J. A., Zinn, J. S., & Aaronson, W. E. (2012). The Effects of

Ownership, Environment, Operating and Strategic Choices on Nursing Home Efficiency.

Nursing, 33(10), 1001–1021.

Rostamzadeh, R., & Sofian, S. (2011). Prioritizing effective 7Ms to improve production systems

performance using fuzzy AHP and fuzzy TOPSIS (case study). Expert Systems with Applications,

38(5), 5166-5177.

Rouhani, S., Ghazanfari, M., & Jafari, M. (2012). Evaluation model of business intelligence for

enterprise systems using fuzzy TOPSIS. Expert Systems with Applications, 39(3), 3764-3771.

Saad, W., & El-moussawi, C. (2009). Evaluating the Productive Efficiency of Lebanese

Commercial Banks : Parametric and Non-Parametric Approaches, 5(1), 5–20.

Sadjadi, S. J., Omrani, H., Abdollahzadeh, S., Alinaghian, M., & Mohammadi, H. (2011). A

robust super-efficiency data envelopment analysis model for ranking of provincial gas companies

in Iran. Expert Systems with Applications, 30, 1-7.

Saen, R. F. (2010). Performance measurement of power plants in the existence of weight

restrictions via slacks-based model. Benchmarking: An International Journal, 17(5), 677-691.

Saen, R.F. (2008). Using super-efficiency analysis for ranking suppliers in the presence of

volume discount offers. International Journal of Physical Distribution and Logistics

Management, 38(8), 637-651.

Sahoo, B. K., Sengupta, J. K., & Mandal, A. Productive Performance Evaluation of the Banking

Sector in India Using Data Envelopment Analysis. Forthcoming in International Journal of

Operations Research.

Salehi, M. (2008). Project Selection by Using a Fuzzy TOPSIS Technique. Techniques, 40, 85-

90.

Salmeron, J. L., Vidal, R., & Mena, A. (2012). Ranking fuzzy cognitive map based scenarios with

TOPSIS. Expert Systems with Applications, 39(3), 2443-2450.

Santori, P.R., & Anderson, A.D. (1987), Manufacturing performance in the 1990s: measuring for

excellence. Journal of Accountancy, 164 (5),141-7.

Saranga, H., & Phani, B. V. The Indian Pharmaceutical Industry-A overview of Internal

Efficiencies using Data Envelopment Analysis, Working paper.

Sarrico, C. S., Hogan, S. M., Dyson, R. G., & Athanassopoulos, A. D. (2011). No Title. Society,

48(12), 1163–1177.

Saulcy, I. (2011). Multi-criteria Group Decision Supplier Selection Problem using Fuzzy TOPSIS

Based Approach. Quality, (July).

283

Seçme, N. Y., Bayrakdaroğlu, A., & Kahraman, C. (2009). Fuzzy performance evaluation in

Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with

Applications, 36(9), 11699-11709.

Seiford, L. M. and Zhu, J. (1999). An investigation of returns to scale in data envelopment

analysis. Omega, 27(1), 1-11.

Sensarma R. (2011). Cost and Profit Efficiency of Indian Banks during 1986-2003: A Stochastic

Frontier Analysis. Economic and Political Weekly, 40(12), 1198–1200.

Sexton, T. R., Leiken, A M., Nolan, A H., Liss, S., Hogan, a, & Silkman, R. H. (1989).

Evaluating managerial efficiency of Veterans Administration medical centers using Data

Envelopment Analysis. Medical Care, 27(12), 1175–88.

Shahroudi, K., & Rouydel, H. (2012). A new methodology for suppliers selection and order

allocation. Journal of Marketing Management, 4(March), 99-109.

Shahroudi, K., Rouydel, H., Assimi, S., & Eyvazi, H. R. (2011). Supplier selection and order

allocation a main factor in supply chain. Management Science, 19.

Shang, J. (1995). A unified framework for the selection of a Flexible Manufacturing System.

European Journal of Operational Research, 41(2), 829–315.

Sharma, K. R., Leung, P., & Zaleski, H. M. (1997). Productive Efficiency of the Swine Industry

in Hawaii : Stochastic Frontier vs Data Envelopment Analysis. Journal of Productivity Analysis,

459(8), 447–459.

Sherman HD and Zhu J (2009). Case study: Improving branch profitability and service with data

envelopment analysis. Bank Accounting and Finance 22: 15-24.

Sherman, H. D. (1984). Hospital efficiency measurement and evaluation. Empirical test of a new

technique. Medical Care, 22(10), 922–38.

Sherman, H. D., Ladino, G., & Hall, H. (1995). Managing Bank Productivity Using Data (DEA)

Envelopment Analysis. Interfaces, 25(2), 60–73.

Shih, H.-S. (2008). Incremental analysis for MCDM with an application to group TOPSIS.

European Journal of Operational Research, 186(2), 720-734.

Shih, H.-S., Shyur, H.-J., & Lee, E. S. (2007). An extension of TOPSIS for group decision

making. Mathematical and Computer Modelling, 45(7-8), 801-813.

Shimshak, D. G., Lenard, M. L., & Klimberg, R. K. (2009). Incorporating Quality into Data

Envelopment Analysis of Nursing Home Performance: A Case Study. Omega, 37(3), 672–685.

284

Shyjith, K., Ilangkumaran, M., & Kumanan, S. (2008). Multi-criteria decision-making approach

to evaluate optimum maintenance strategy in textile industry. Journal of Quality in Maintenance

Engineering, 14(4), 375-386.

Singh, S., Coelli, T., & Fleming, E. (2001). Performance of dairy plants in the cooperative and

private sectors in India. Annals of Public and Cooperative Economics, 72(4), 453–480.

Sinuany-Stern, Z. (1998). DEA and the discriminant analysis of ratios for ranking units.

European Journal of Operational Research, 26(2), 85–478.

Sithu, M. (2011). A Resource Pool Management Model using Fuzzy Logic Decision Making.

International Journal, 29(10), 24-31.

Soteriou, A. C. (1998). Using DEA to evaluate the efficiency of secondary schools: the case of

Cyprus. International Journal of Educational Management, 24(1), 49–73.

Soteriou, A. C. and Stavrinides, Y. (2002). An internal customer service quality data envelopment

analysis model for bank branches. International Journal of Bank Marketing, 18(5), 246-252.

Staub, R. B., da Silva e Souza, G., & Tabak, B. M. (2010). Evolution of bank efficiency in Brazil:

A DEA approach. European Journal of Operational Research, 202(1), 204–213.

Sueyoshi, T., & Goto, M. (2012). Data envelopment analysis for environmental assessment:

Comparison between public and private ownership in petroleum industry. European Journal of

Operational Research, 216(3), 668–678.

Sueyoshi, T., Goto, M., & Ueno, T. (2010). Performance analysis of US coal-fired power plants

by measuring three DEA efficiencies. Energy Policy, 38(4), 1675–1688.

Sufian, F. (2007). Trends in the efficiency of Singapore’s commercial banking groups: A non-

stochastic frontier DEA window analysis approach. International Journal of Productivity and

Performance Management, 56(2), 99-136.

Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS

methods. Expert Systems with Applications, 37(12), 7745-7754.

Sun, C. C., & Lin, G. T. R. (2009). Using fuzzy TOPSIS method for evaluating the competitive

advantages of shopping websites. Expert Systems with Applications, 36(9), 11764-11771.

Suzuki, S., Nijkamp, P., Rietveld, P., & Pels, E. (2010). A distance friction minimization

approach in data envelopment analysis: A comparative study on airport efficiency. European

Journal of Operational Research, 207(2), 1104–1115.

Taleizadeh, A. A., Niaki, S. T. A., & Aryanezhad, M.-B. (2009). A hybrid method of Pareto,

TOPSIS and genetic algorithm to optimize multi-product multi-constraint inventory control

285

systems with random fuzzy replenishments. Mathematical and Computer Modelling, 49(5-6),

1044-1057.

Talluri, S., & Narasimhan, R. (2004). A methodology for strategic sourcing. European Journal of

Operational Research, 154(1), 236–250.

Talluri, S., Narasimhan, R., & Nair, A. (2006). Vendor performance with supply risk : A chance-

constrained DEA approach. Production, 100, 212–222.

Tan, Y.-tao, Shen, L.-yin, Langston, C., & Liu, Y. (2010). Construction project selection using

fuzzy TOPSIS approach. Journal of Modelling in Management, 5(3), 302-315.

Tansel İç, Y. (2012). Development of a credit limit allocation model for banks using an integrated

Fuzzy TOPSIS and linear programming. Expert Systems with Applications, 39(5), 5309-5316.

Taylor, B., & Harris, G. (2011). Relative efficiency among South African universities : A data

envelopment analysis, 47(1), 73–89.

Thanassoulis, E., Boussofiane, A., & Dyson, R. G. (1995). Exploring output quality targets in the

provision of perinatal care in England using data envelopment analysis ". Science, 2217(94).

Tiemann, O. (2009). Effects of Ownership on Hospital Efficiency in Germany. Academy of

Management Annual Meeting Proceedings, 8(1), 1–6.

Tsou, C. (2008). Multi-objective inventory planning using MOPSO and TOPSIS. Expert Systems

with Applications, 35(1-2), 136-142.

Turner, D. (2005). Benchmarking in universities: league tables revisited. Oxford Review of

Education, 31(3), 353–371.

Vaidya, O., & Chitnis. A. (2012). Performance Evaluation in Indian Corporate Organizations: A

Survey, Procedia - Social and Behavioral Sciences, 37, 38 – 45.

Vaidya, O. S. & Kumar, S. (2006). Analytic hierarchy process: An overview of applications.

European Journal of Operational Research, 169 (1), 1–29.

Vencappa, D., & Thi, N. V. (2007). Decomposing the Productivity Growth of Foreign Banks in

the Czech Republic, Hungary and Poland : Greenfield Investment versus Mergers and

Acquisitions, The Icfai University Press, 4(4), 27–39.

Venkatraman, N., & Ramanujam, V. (1986). Measurement of Business Performance in Strategy

Research: A Comparison of Approaches. The Academy of Management Review, 11(4), 801-814.

Wadud M. (2003). Economic Efficiency of Farms in Bangladesh: A Stochastic Frontier and DEA

Approach. The Journal of Developing Areas, 37(1), 109–126.

286

Wang, Jianrong, Fan, K., & Wang, W. (2010). Integration of fuzzy AHP and FPP with TOPSIS

methodology for aero-engine health assessment. Expert Systems with Applications, 37(12), 8516-

8526.

Wang, T.-C., & Chang, T.-H. (2007). Application of TOPSIS in evaluating initial training aircraft

under a fuzzy environment. Expert Systems with Applications, 33(4), 870-880.

Wang, T.-C., & Lee, H.-D. (2009). Developing a fuzzy TOPSIS approach based on subjective

weights and objective weights. Expert Systems with Applications, 36(5), 8980-8985.

Wang, Y. & Luo, Y. (2006). DEA efficiency assessment using ideal and anti-ideal decision

making units. Applied Mathematics and Computation, 173(2), 902-915.

Wang, Y. & Luo, Y. (2009). On rank reversal in decision analysis. Mathematical and Computer

Modelling. 49(5-6), 1221-1229.

Wang, Y. M. & Chin K. S. (2010). A neutral DEA model for cross-efficiency evaluation and its

extension. Expert Systems with Applications, 37(5), 3666–3675.

Wang, Y., Luo, Y., & Liang, L. (2009). Ranking decision making units by imposing a minimum

weight restriction in the data envelopment analysis $. Journal of Computational and Applied

Mathematics, 223(1), 469–484.

Wang, Y.-M., & Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an

application to bridge risk assessment. Expert Systems with Applications, 31(2), 309-319.

Weber, C. a. (2000). An optimization approach to determining the number of vendors to employ.

Supply Chain Management: An International Journal, 1(68), 173–98.

Wu, C.-S., Lin, C.-T., & Lee, C. (2010). Optimal marketing strategy: A decision-making with

ANP and TOPSIS. International Journal of Production Economics, 127(1), 190-196.

Wu, J., Liang, L., & Yang, F. (2009). Achievement and benchmarking of countries at the Summer

Olympics using cross efficiency evaluation method. European Journal of Operational Research,

197(2), 722–730.

Wu, J., Sun, J., Song, M. and Liang, L. (2013). A ranking method for DMUs with interval data

based on DEA cross-efficiency evaluation and TOPSIS. Journal of Systems Science and Systems

Engineering, 22(2), 191-201.

Wu, T.-H., Chen, M.-S., & Yeh, J.-Y. (2010). Measuring the performance of police forces in

Taiwan using data envelopment analysis. Evaluation and Program Planning, 33(3), 246–54.

Wu, W., Lan, L. W. & Lee, Y. (2011). Benchmarking hotel industry in a multi-period context

with DEA approaches: a case study. Benchmarking: An International Journal, 20(2), 152-168.

287

Yan, G., Ling, Z., & Dequn, Z. (2011). Performance Evaluation of coal enterprises energy

conservation and reduction of pollutant emissions base on GRD-TOPSIS. Energy Procedia, 5,

535-539.

Yang, H., & Pollitt, M. (2009). Incorporating both undesirable outputs and uncontrollable

variables into DEA: The performance of Chinese coal-fired power plants. European Journal of

Operational Research, 197(3), 1095–1105.

Yang, Z. L., Bonsall, S., & Wang, J. (2008). Fuzzy rule-based Bayesian reasoning approach for

prioritization of failures in FMEA. IEEE Transaction on Reliability, 57,

Yang, Z. L., Bonsall, S., & Wang, J. (2011). Approximate TOPSIS for vessel selection under

uncertain environment. Expert Systems with Applications, 38(12), 14523-14534.

Yang, Z. L., Mastralis, L., Bonsall, S., & Wang, J. (2008). Incorporating uncertainty and

Ye, F. (2010). An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for

virtual enterprise partner selection. Expert Systems with Applications, 37(10), 7050-7055.

Yu, X., Guo, S., Guo, J., & Huang, X. (2011). Rank B2C e-commerce websites in e-alliance

based on AHP and fuzzy TOPSIS. Expert Systems with Applications, 38(4), 3550-3557.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.

Zenios, C. V, Zenios, S. A., Agathocleous, K., & Soteriou, A. C. (2011). Benchmarks of the

Efficiency of Bank Branches. Interfaces, 29(3), 37–51.

Zhang, H., Gu, C.-lin, Gu, L.-wen, & Zhang, Y. (2011). The evaluation of tourism destination

competitiveness by TOPSIS & information entropy – A case in the Yangtze River Delta of China.

Tourism Management, 32(2), 443-451.

Zheng, J., & Bigsten, A. (1998). Ownership Structure and Determinants of Technical Efficiency :

An Application of Data Envelopment Analysis. Differences, 484, 465–484.

Zhu, J, (2001). Super-efficiency and DEA sensitivity analysis. European Journal of Operational

Research, 129(2), 443–455.

Books

Cooper, W. W., Seiford, L. M. & Tone (2007). Data Envelopment Analysis: A Comprehensive

Text with Models, Application, References and DEA-Solver Software. 2nd

edition, Springer.

Kumbhakar, S. C. & Lovell, C.A. (2000). Stochastic Frontier Analysis, Cambridge University

Press.

Mahadevan, B. (2010). Operations Management: Theory and Practice. New Delhi: Pearson

Education India.

Ramnathan, R. (2003). An Introduction to Data Envelopment Analysis: A Tool for Performance

Measurement. Muscat: SAGE Publications.