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Unit 14: Decision-making




                                                                                                Notes

              Task  Draw decision table for the following situation:

             Rajesh needs to decide whether to sue his doctor not. If he does not, and he wins, he'll have
             the satisfaction of seeing the malicious doctor suffer humiliation and might gain enough
             money to pay the legal fees. If he looses, he will be bankrupted by the legal fees. But if he
             doesn't sue, he'll always have to wonder whether he might have gained some satisfaction
             by doing so.
          14.4 Decision-making under Uncertainty


          "Uncertainty" refers to situations when this randomness "cannot" be expressed in terms of specific
          mathematical probabilities.
          In decision-making under pure uncertainty, the decision maker has no knowledge regarding
          the outcomes of any of the states of nature. In such situations, the decision-making depends
          merely on the decision maker's personality type and the decision maker's behaviour is purely
          based on his/her attitude toward the unknown. Some  of these  behaviours are optimistic,
          pessimistic, and least regret, among others.
          With no knowledge regarding the likelihood (probability) of any of the events occurring, the
          decision maker must base his decision solely on the actual conditional payoff values, together
          wit his attitude or anticipation toward earning those values. Four  decision criteria reflecting
          different attitudes will be discussed: the pessimistic, the optimistic, the equally likely, and the
          Savage opportunity-loss decision criteria. These criteria may lead to different decisions for the
          same problem; thus, it is important that the decision maker select his appropriate criterion at the
          outset. We shall discuss each of the uncertainty decision criteria with respect to the apple peddler
          problem.
          14.4.1 Pessimistic Decision Criterion


          The pessimistic  decision criterion, or what is sometimes called the  minimax or maximum
          criterion, assures the decision maker that he will earn no  less (or  pay no  more) than  some
          specified amount. It is a very conservative approach to decision-making, in that we anticipate
          the worst possible outcome (minimum for profit and maximum for cost) for any strategy that
          we might choose. The optimal strategy chosen is then the best (maximin or  minimax) of the
          anticipated outcomes.

          Steps for Decision under Pessimistic Criteria

          The formal procedure for finding the pessimistic decision is as follows:
          1.   For each possible strategy, identify the worst payoff value. This will be the row minimum
               for a profit table and the row maximum for a cost table. Record this number in a new
               column.
          2.   Select the strategy with the best anticipated payoff value (maximum for profit and minimum
               for cost)
          It should be pointed out that, this decision rule does not consider the utility values of the various
          outcomes nor does it allow for the superimposing of the decision maker's subjective feelings
          about the likelihood of the various events. Rather, this criterion is best suited for those situations,
          where the probabilities are not easily evaluated and the decision maker is very conservative.
          When dealing with the costs, the maximum cost associated with each alternative is considered
          and the alternative that minimizes this maximum cost is chosen.



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