What is the difference between a decision tree and a decision table?

Question

Accepted Answer

Decision tree is a graphical representation of decisions and their possible consequences, while decision table is a tabular representation of decisions and their corresponding actions.

Decision tree is a visual representation of a decision-making process, where each branch represents a possible decision and its outcome.
Decision table is a table that lists all possible combinations of conditions and actions, making it easier to determine the appropriate action for a given set of conditions.
Decision tree is useful when there are multiple possible outcomes and the decision-making process is complex.
Decision table is useful when there are multiple conditions and actions to consider, and it is important to ensure that all possible combinations are covered.
Decision tree is often used in machine learning and artificial intelligence, while decision table is commonly used in business rules management systems.

Accepted Answer

Decision Tree: here If, if, if, Otherwise logic is used.
In It each condition can have different property.
We can call other decision rule by selecting the under configuration tab “Allow Selection of Call decision option.
Here expression builder icon is not present.

Decision table: Logic is If, If else, If else, otherwise,
. Here the number of Properties for every logic is Fixed.	.Each logic can have different properties being used.
. We can use expression builder for properties, values and return results.	. We cannot use expression builder for return results.
.We can all other decision rules using only functions pxEvaluateDecsionTable, Tree, ObtainValue().	. We can call other decision rule by selecting the under configuration tab “Allow Selection of Call decision option”.

What is the difference between a decision tree and a decision table?

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