How to Configuring Decision Tables and Trees in Pega 8

In this post your will learn How to configuring decision tables and decision trees in Pega 8

Decision Tables and Decision Trees:
  • These are the fundamental to enforcing business decisions.
  • Decision rules will be used in flows, routers, activities, and declare expressions.
  • Both will allow you to design complex decision logic.
Decision Tables:
  • It will be used to test the values of multiple properties to answer questions.
  • It evaluate against the same set of properties or conditions.
  • Decision tables resemble a spreadsheet with rows and columns.
  • Organization may choose to delegate to business users responsibility for updating the decision table.
  • A delegated decision table allows the users to quickly adjust the table to make the update, rather than waiting for IT to make the required changes.
  • You can reference decision tables in the decision shapes to decide which connector to use when advancing a case in a process.
  • It can also use in declare expressions, activities, or routers.

decision table pega

Configure a decision table:
  • To create a decision table, in the Application Explorer, select a class. Then right-click and select Create > Decision > Decision Table.
Specify a condition property or expression:
  • Click on the Conditions cell opens the Decision Table property chooser tool.
  • Select a property or create an expression used for the evaluation.
  • Enter a label that appears on the table.
  • Select the comparison operator.

decision table property chooser

Specify the condition:
  • In the rows under the conditions column, enter the value you want to compare during the evaluation.
  • You can enter a literal value, a property, or an expression.
  • Multiple rows can be added for each combination of conditions.
  • If you have more than one condition column, you must enter a condition in at least one column.
Specify the return value:
  • Under the Return column, enter a literal value, a property, or an expression.
  • This is the result the table returns if all the conditions in the row evaluate to true.
Specify the otherwise value:
  • Make sure to add a value in the otherwise rows to ensure that the decision always returns a result.
  • Processing error can occur if there is no result.
Return Multiple results:
  • Under the Results tab, if you enable the Evaluate all rows option.
  • The decision table evaluates all rows defined in the decision table.
  • if the condition is true, the decision table performs the actions and returns an array of results that can be parsed.

decision table multiple results

Decision Trees:
  • Decision tables can be used to handle logic that calculates a value from a set of test conditions.
  • It evaluates against different properties or conditions.
  • Like decision tables, you can reference decision trees in flow shapes, declare expressions, activities, or routers.
Decision Tree Logic:
  • To create a decision tree, in the Application Explorer, select a class. Then right-click and select Create > Decision > Decision Tee

decision tree pega

  • Decision trees contain condition branches — a comparison value, a comparison operator, and an action.
  • The action can be to return a result, to continue the evaluation, or stop the evaluation.
  • When the decision tree is invoked, the system evaluates the top row and continues until it reaches a result that evaluates to true.
return:

If the condition evaluates to true, the system returns a result value that you define in the field to the right of the drop-down.

continue:

Causes the next branch of the decision tree to nest within this branch. The system indents the next branch on the form.

otherwise:

Select only as the last result for a branch. Typically, you use this option when configuring indented branches.

Note: As a best practice, enter a default return value in the otherwise row at the bottom of the tree. This helps ensure that there is a returned value if no other conditions evaluate to true.

Hope you learned How to configuring decision tables and decision trees in Pega 8.

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