Decision 2

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    Decision Analysis

    Y. lker TOPCU, Ph.D.www.ilkertopcu.info

    www.yoneylem.itu.edu.tr

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    Outline

    Introduction

    What is Decision Analysis?

    Decision Making under Certainty

    Decision Making under Uncertainty

    Decision Making under Risk

    Utility Theory

    Decision Trees

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    Introduction

    One dimensional (single criterion) decisionmaking

    Single stage vs. multi stage decision making

    Decision analysis is an analytical and

    systematic way to tackle problems

    A good decision is based on logic (rationaldecision maker)

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    Components ofDecision Analysis

    Astate of nature is an actual event that may occurin the future.

    Apayoff matrix (decision table) is a means of

    organizing a decision situation, presenting thepayoffs from different decisions/alternatives given

    the various states of nature.

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    Basic Steps inDecision Analysis

    1) Clearly define the problem at hand2) List the possible alternatives

    3) Identify the possible state of natures (outcomes)

    4) List the payoff or profit/cost of alternatives withrespect to state of natures

    5) Select one of the mathematical decision analysis

    models6) Apply the model and make your decision

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    Types of Decision-MakingEnvironments

    Type 1: Decision-making under certainty The decision-makerknows with certainty the

    consequences of every alternative or decision choice

    Type 2: Decision-making under uncertainty

    The decision-makerdoes not know the probabilities of

    the various outcomes. Actually s/he knows nothing!

    Type 3: Decision-making under risk

    The decision-makerdoes know the probabilities of the

    various outcomes

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    Decision MakingUnder Certainty

    Instead of state of natures, a true state is known to

    the decision maker before s/he has to make decision

    The optimal choice is to pick an alternative with the

    highest payoff

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    Decision MakingUnder Uncertainty

    Maximax

    Maximin

    Criterion of Realism

    Equally likelihood

    Minimax

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    Payoff Matrix

    STATES OF NATURE

    ALTERNATIVES

    Favorable

    market

    Unfavorable

    marketConstruct large plant $200,000 ($180,000)

    Construct small plant $100,000 ($20,000)

    Do nothing $0 $0

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    Maximax

    Choose the alternative with the maximumoptimistic level

    ok = {oi} = { {vij}}

    STATES OF NATURE

    ALTERNATIVES

    Favorable

    market

    Unfavorable

    market

    Maximum in

    row (ok)

    Construct large plant $200,000 ($180,000) $200,000

    Construct small plant $100,000 ($20,000) $100,000

    Do nothing $0 $0 $0

    m

    i 1max

    m

    i 1max

    m

    j 1max

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    Maximin

    Choose the alternative with the maximumsecurity level

    sk

    = {si

    } = { {vij

    }}m

    i 1

    max

    m

    i 1

    max

    m

    j 1

    min

    STATES OF NATURE

    ALTERNATIVES

    Favorable

    market

    Unfavorable

    market

    Minimum in

    row (sk)Construct large plant $200,000 ($180,000) ($180,000)

    Construct small plant $100,000 ($20,000) ($20,000)

    Do nothing $0 $0 $0

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    Criterion of Realism

    Hurwicz suggested to use the optimism-pessimismindex (a)

    Choose the alternative with the maximum weightedaverage of optimistic and security levels

    {a oi + (1a) si} where 0

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    Criterion of Realism

    120a

    -20 = 0

    a

    = 0.1667380a-180 = 120a-20 a = 0.6154

    0Z>X).

    X

    Y

    Z

    p

    1p

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    Risk Premium

    Risk Premium (RP) of a lottery is the differencebetween the EV of the lottery and the CE of the

    lottery

    If the DM is risk averse, RP>0S/he prefers to receive a sum of money equal to expected

    value of a lottery than to enter the lottery itself

    If the DM is risk prone, RP