Difference between decision table & decision tree PDF

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Summary

BASIS OF COMPARISON DECISION TABLE DECISION TREE
DESCRIPTION A decision table is a table that indicates conditions and actions in a simplified and orderly manner. A decision tree is a graphical representation of possible solutions to a decision based on certain conditions.
PURPOSE The ...

Description

BASIS OF COMPARISON

DECISION TABLE

DECISION TREE

DESCRIPTION

A decision table is a table that indicates conditions and actions in a simplified and orderly manner.

A decision tree is a graphical representation of possible solutions to a decision based on certain conditions.

PURPOSE

The purpose of a decision table is to structure logic by generating rules derived from the data entered in the table itself.

The purpose of a decision tree is to give an effective and easy way to visualize and understand the potential options of a decisions and its range of possible outcomes.

TYPES

Types of decision tables are extended entry table and limited entry table.

There are two types of decision tree; they include categorical variable decision tree and continuous variable decision tree.

Conditions

Representation

Analysis

Communication Flexibility

Decision tables will always have the same number of conditions that need to be evaluated and actions that must be performed even if the set of branches being analyzed is resolved to true. A decision table lists causes (business rule condition), which are represented through the use of matrix where each column represents a unique combination. Each row of a decision table collects and stores its data separately and then combines the data with a specific or customized template to generate a rule. Flow charts, symbols are not always standardized and this sometimes hinders their communication value.

A decision tree can have one branch with more conditions that need to be evaluated than other branches on the tree. Each branch of the decision tree represents a decision option, its cost and the probability that it is likely to occur. A decision tree creates a comprehensive analysis of the consequences along each branch and identifies decisions that need further analysis. The nodes are always standardized and hence the tree output is easy to read and interpret....