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Management Practices and Organisational Behaviour




                    Notes          3.12 Decision Graphs

                                   Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning
                                   and decision making under uncertainty.

                                   Decision Tree Analysis

                                   A decision tree is a decision support tool that uses a tree-like graph or model of decisions and
                                   their possible consequences, including chance  event outcomes,  resource costs, and utility. A
                                   decision tree is drawn only from left to right, and has only burst nodes (splitting paths) but no
                                   sink nodes (converging paths). Therefore, if drawn manually, it can grow very big and become
                                   hard to draw fully.

                                   A decision tree is used as a visual and analytical tool, where the expected values (or expected
                                   utility) of competing alternatives are calculated.
                                   A decision tree consists of three types of nodes:

                                   1.  Decision nodes - commonly represented by squares
                                   2.  Chance nodes - represented by circles
                                   3.  End nodes - represented by triangles

                                   Decision trees show the possible outcomes of different choices, taking into account probabilities,
                                   costs and returns. They enable a manager to set out the consequences of choices, ensuring that he
                                   has considered all possibilities and to assess the likelihood of each different possibility and to
                                   assess the result of each possibility in terms of cost and profit.
                                   An illustration of decision  tree can be seen in figure which shows a simple decision tree for
                                   investment analysis. In the example 100,000 monetary units are to be invested and the decision
                                   is to invest either in private or public shares. The values, of course are hypothetical because the
                                   diagram represents risk and not actual returns.




















                                   Constructing the Decision Tree

                                   Start a decision tree with a decision that needs to be made. This decision is represented by a
                                   small square towards the left of a large piece of paper. From this box draw out lines towards the
                                   right for each possible solution, and write that solution along the line. Keep the lines apart as far
                                   as possible so that you can expand your thoughts.
                                   At the end of each solution line, consider the results. If  the result  of taking that decision is
                                   uncertain, draw a small circle. If the result is another decision that needs to be made, draw



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