# Decision Tree

Definition: Decision Tree may be understood as the logical tree, is a range of conditions (premises) and actions (conclusions), which are depicted as nodes and the branches of the tree which link the premises with conclusions. It is a decision support tool, having a tree-like representation of decisions and the consequences thereof. It uses ‘AND’ and ‘OR’ operators, to recreate the structure of if-then rules.

A decision tree is helpful in reaching the ideal decision for intricate processes, especially when the decision problems are interconnected and chronological in nature.

A decision tree does not constitute a decision but assists in making one, by graphically representing the material information related to the given problem, in the form of a tree. It diagrammatically depicts various courses of action, likely outcomes, states of nature, etc, as nodes, branches or sub-branches of a horizontal tree.

### Nodes

There are two types of Nodes:

• Decision Node: Represented as square, wherein different courses of action arise from decision node in main branches.
• Chance Node: Symbolised as a circle, at the terminal point of decision node, the chance node is present, where they emerge as sub-branches. These depict probabilities and outcomes.

For instance: Think of a situation where a firm introduces a new product. The decision tree presented below gives a clear idea of managerial problems. • Key A is a decision node, wherein the decision is taken, i.e. to test the product or drop the same.
• Key B is an outcome node, which shows all possible outcomes, that can be taken. As per the given situation, there are only two outcomes, i.e. favorable or not.
• Key C is again a decision node, that describes the market test is positive, so the firm’s management will decide whether to go further with complete marketing or drop the product.
• Key D is one more decision node, but does not shows any choice, which depicts that if the market test is unfavorable then the decision is to drop the product.
• Key E is again an outcome node.

The decision tree can be applied to various areas, where decisions are pending such as make or buy decision, investment decision, marketing strategy, the introduction of a new project. The decision maker will go for the alternative that increases the anticipated profit or the one which reduces the overall expected cost at each decision point.

## Types of Decision Tree In a single stage decision tree, the decision maker can find only one solution, which is the best course of action, on the basis of the information gathered. On the other hand, multi-stage decision tree involves a series of the decision to be taken.