Abstract
Decision situations can be analyzed using different methods out which decision trees are useful to analyze complex situations. Frequently, decision situation is complicated because the payoffs are not only dependent on the initial decision but also dependent on the additional decisions are taken in the sequential step process. Decision trees can identify the best initial as well as the best subsequent actions. The decision criterion that a decision tree satisfies the Bayesian expected payoff criterion. The present case has multiple alternatives and multiple probabilities; decision tree is the best method for solving this. The resulting decision tree has three ...