CEVAP:

A graphical representation of a decision problem comes in the form of decision tree. Decision tree is a very useful tool to show all the aspects of the decision problem on one graph. If the payoff matrix is created under the risk environment, decision maker may show all the expected monetary values over the graph. On a decision tree, it will be easier to see which decision alternatives give similar results, and what is the next closest decision alternative to the best decision alternative. The decision tree includes all the scenarios that might happen in the decision process, therefore decision maker can see all the possibilities of the decision problem with their consequences. There are some main components of the decision tree. The decision trees are drawn from left to right starting with the main decision node and ending up payoff values. If you can create a payoff matrix, then you can create the decision tree, therefore the decision trees can be used in both decision making under uncertainty and decision making under risk