Chapter 4 b625aswc04.pptx

Chapter 4 b625aswc04.pptx - Chapter 4 Decision Analysis 1 I...

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1 Chapter 4 Decision Analysis

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2 I begin here with an example. In the table below you see that a firm has three alternatives that it can choose from in the development of a tract of land, but it does not know what future conditions will be (and it can not choose the state of nature). States of Nature Decision Alternatives s1 s2 d1 8 7 d2 14 5 d3 20 -9 In this example, the states of nature represent the future conditions and the firm has no control of what will happen here. Say the s1 = a strong demand for condominiums, and s2 = a weak demand for condos.
3 Now, in the example the firm has a tract of land and it has to decide how many condominiums it should build on the land. Say d1 = 30 units, d2 = 60 units and d3 = 90 units. Notation: di means the i th decision alternative, sj means the j th state of nature, and vij means the value that would occur if the firm choose di and state of nature sj occurred. In the current example the vij refers to profit. In fact, the information presented is in payoff table format and here the values would represent profit. The values could represent other ideas, depending on the problem. We could have costs, revenue, or other items in the table.

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4 8 7 14 5 20 -9 30 units 60 units 90 units Strong weak strong weak Strong weak The decision maker must choose one from these three alternatives The information in a problem such as the one considered can also be presented in decision tree format. At the far left we show the decision alternatives as the main “branches” of the tree. Off of each alternative we have each state of nature and at the end we put the value. For our example we would have the following:
5 Now, there are times when we might have some information about how likely the states of nature might be and sometimes we don’t have that information. For now, say we do not have this information. How do we decide what to do? One approach used to decide which alternative to choose is called the Optimistic Approach. The method would have you find the “best” value in the table and then choose the alternative with that value (although you may not get it because the state of nature does not cooperate). The idea of best depends on the context of the problem. If the problem is about profit best would mean highest and if the problem is about cost, for example, then best means lowest. In our example, since we have profit best means highest and thus we would choose d3, build 90 units.

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6 I have reproduced our example here because I want to show you the optimistic approach in a little more sophisticated way. States of Nature Decision Alternatives s1 s2 d1 8 7 d2 14 5 d3 20 -9 Let us now list for each alternative the maximum profit that could occur: d1: 8 d2: 14 d3: 20. Now, the option to choose is the one with the maximum profit. Here we would choose d3.
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• Spring '18
• Game Theory, Probability theory, Sample Information

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