decision tables

The concept of a template also applies to decision tables.

To that end, I developed a Java class library during a five-day period to implement this decision tables technique with IBM Rational tools.

Deterministic decisions where rules can be described in "if then" constructs, decision tables or decision trees.

Most rule management environments have useful capabilities to manage compound rules, decision tables, and interdependent rule elements.

The Business Rule Group component is a collection of related business rules, which you can express as decision tables or if-then rule sets.

When the decision table becomes too complex, a hierarchy of new decision tables can be constructed.

Decision tables provide compact visualizations of orthogonal conditions.

the concepts of neighborhood information systems and neighborhood decision tables are introduced.

In decision tables, rows and columns represent different conditions and the resulting action is defined by their intersections.

Similar content as Decision Tables, but represented as a tree with branching logic.

Examples of artifacts from BRM tools include rule sets, decision tables, decision trees, and score cards.

A rule group is a type of component implementation that logically groups rule sets and decision tables.

The rule sets or decision tables that you define in the right pane will implement the getRate operation.

Business rules - Rule sets and decision tables for simple decision making.

As illustrated in Figure 2, decision tables are useful when specifying, analyzing, and testing complex logic.

SPECIFICATION FOR DECISION TABLES IN DATA PROCESSING.

This category includes if-then statements and decision tables.

It is easy to consider new combinations of input data and to extend the test suite coverage, adding new conditions in the decision tables.

The improved binary discernable matrix is not only small in scale but also suitable for any decision tables for computing the core.

A testing logic easy to keep track of and to change with the decision tables that can be read and filled out by non-programmers

Extension of Rough Set Methodology for Probabilistic Decision Analysis from Preferential Multiple Attribute Decision Tables

Tree Generation Algorithms for the Building of Conditional Decision Tables

The relationship of the positive domain reduction with other reductions of inconsistent decision tables

Studies on Equivalence of the Distribution Reduction and the Strictly Convex Function Based Reduction in Decision Tables

Relative Information Quantity Representation for Attribute Reduction of Decision Tables

A discernibility matrix based attribute reduction algorithm for inconsistent decision tables

The Calculating Method in Rough Set by Translating Decision Tables and Its Application

Condition information quantity-based reduction of attribute in consistent decision tables

Create the decision scripts with a code template and fill the decision tables

Information processing; Specification of single-hit decision tables

Information Representation for Attribute Reduction of Decision Tables in Rough Set Theory

Ordered Assignment Reduction in Inconsistent Decision Tables

Approaches to Knowledge Reductions in Inconsistent Decision Tables

Decision Rules Discoveries in Decision Tables under Conflict Environment

Extension of rough sets model for probabilistic decision analysis from rough-fuzzy decision tables

Matrix computation for rule extraction in inconsistent decision tables

Some Properties of Decomposition of Inconsistent Decision Tables

Services to explore the decision tables and to compare alternatives with verifications performed on the AUT

Rules mining of incomplete decision tables based on extension of rough sets theory and its application

In software development, decision tables help test teams manage complex logic in software applications. 2

Research on the Feature Subset Selection of Complex Decision Tables

Research of medical treatment knowledge mining based on approximation algorithm for RS decision tables

A Data Complement Method for Incomplete Decision Tables

Importance of Multi-Valued Attributes and Discretization in Decision Tables

An Approximation Algorithm for Decision Tables Based on Neighborhood System

Feature Reduct of Decision Tables Based on Feature Matrix