decision table

In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.

The open glue layer allows you to easily create rules in a decision table on the business level and link them to the BPMN process model.

In the theory of rough set, attribute reduction of decision table was an important research subject.

The classification of the decision table is discussed based on the study of the data properties and the relations between them.

The Interface section of the decision table editor displays the input and output variables of the interface, as shown in Figure 11.

In every decision table a set of decision rules, called a decision algorithm, can be associated.

All the possible alternatives are automatically generated in the decision table data pool, as shown in Figure 14.

The methods of the attribute reduction and a method of the rule acquisition of the consistent decision table a.

In BRMS, the flat file above can be converted into a decision table that looks like Figure 15.

After decision table reduction, the minimal decision rules can be obtained and the rules will be used to perform signal enhancement.

Similar to a rule template in a rule set, a value template in the decision table has a presentation and parameters.

Since the logic is defined in the decision table, the tester does not need to hard code any testing logic.

The conditions specified at a decision point are used to generate the corresponding decision table.

Each section has a decision table to help you quickly find the information you're looking for.

A classic example of a decision table is one that frequent travelers are familiar with.

Each decision point can be specified with a decision table.

From the relation, the reduction of attributes for the decision table is conducted by applying the rough set theory to gain decision rules.

The reduction problem of decision table, which is one of Rough Set techniques, is researched. The reduced algorithm was given.

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

With this method, the decision table of models with continuous attribute values is acquired by setting parameters in the models randomly.

The decision table specifies under what conditions a test action must be performed.

First, the tester creates a decision table with a Functional Tester data pool.

The decision table was established by the rough set theory to make the knowledge reduced and determine the relevant evaluating indexes.

Then the corresponding definition of attribute reduction in incomplete decision table is given.

Enter RateTable for the name of the decision table.

Figure 9 shows a sample of a rule template for a decision table.

You need to define a partner reference in a rule group when a rule set or a decision table invokes another component.

Discernibility ability index DI(a) of decision table is defined, some properties about DI(a) are presented.

The results provides theory basis for knowledge acquisition of information systems and decision table based on general binary relation.

Then, the relation between objects in the decision table is obtained by setting errors.

A decision table captures simple rule logic in a table format.

A destination could be either a rule set or a decision table that contains the actual business logic.

With a decision table, it is easy to add and remove conditions, depending on the test strategy.

A model of calculating core attributes is proposed in decision table information system based on equivalence classes operation.

In addition, the algorithm given in the paper is suitable for the decision table which has duplicated tuples .

Now 7 months later rumours are that Audi engineers, designers and decision makers are back on the decision table.

The interface file of the InternationalRateRG is the rule group that contains the RateTable decision table.

Figure 14: All the possible combinations are generated in the decision table.

There are two sections in a decision table: conditions and actions.

A decision table is designed to handle basic business rule logic.

Note on "Two New Reduction Definition of Decision Table"

In your business rules you will use a decision table to capture the rate table.

This is just one kind of business rule logic that can be easily captured in a decision table.

In the RateTable decision table editor, click the condition cell where it says Enter Term.

It's time to create a rule group that uses a rate plan decision table.

A decision table editor opens.

A new decision table dialog box opens.

Figure 5 shows how we would create a decision table using the decision table editor.

It can be specified using two different formats: a rule set, or a decision table.

Time to fill in your decision table with some conditions!

Table 3 outlines his decision table.

There are two kinds of business rules: rule set and decision table.

For example, Figure 7 shows a decision table that has two conditions and two actions.

Last time you were at this point, you created a decision table. This time, you will create a rule set

Variable Precision Attribute Reduction and Its Application in Rule Extraction from a Decision Table

Universe Reduct of a Decision Table and its Granular Principle

A Sort of Algorithm of Incomplete Decision Table

Variable Precision Rough Sets Methodology for Probabilistic Rules Discovery from a Multi-Criteria Decision Table

Attribute reduction of a decision table in algebra view and information view

Comparative Analysis of Knowledge Reduction Approaches in Inconsistent Decision Table

Generalized eigenmatrix of decision table and its applications

Simplified decision table and its attributes reduction

Comparison of the Reliability between Rough Set Decision Table and Reduction of Decision Table

An Algorithm over Vertically Partitioned Multi-decision Table for Computing Global Attribute Core

An Inductive Learning Approach of Decision Table with Continuous Condition Attribute Values

Attribute Reduction Models of Inconsistent Decision Table and Rule Extraction

Completization methods of linear subsection interpolation on incomplete decision table

Incremental algorithms for attribute reduction in decision table

Completeness Analysis on Decision Table of Continuous Attributes

Decision-Tree-based Missing Data Filling and Rules Extraction in Incomplete Decision Table

Generalization of the Consistent Decision Table

Distributed calculation methods for core attributes of decision table

Attribute reduction of a decision table

More improved greedy algorithm for discretization of decision table

Business rules involving ruleset and decision table templates

Rough Set-based Ordering Rules Acquisition in Interval Valued Decision Table

A new method of expression and storage on decision table for the stability control of power systems

Discretization of Continuous Attributes in Decision Table Based on Conditional Information Quantity

The Method to Attribute Reduction of Multi-valued Incomplete Decision Table

An Incremental Algorithm for the New Reduction Model of Decision Table

An Attribute Reduct Algorithm of Continuous Domain Decision Table

Knowledge Reduction and Rule Acquirement Method in Decision Table

The decision-table-based testing library consists of Java classes that provide the following services

A Calculation for Core Attributes of Inconsistent Decision Table

Rule acquisition of inconsistent decision table

Positive Region Deduction of Decision Table and Computation of Core

Calculation Methods for Core Attributes of Decision Table

Decision Rule in Decision Table and Knowledge Granulation

Decision table attribute reduction algorithm based on extended information entropy

Figure 4: The main classes of the decision-table-based testing library

Granular Essence In Incomplete Decision Table

knowledge acquisition in vague decision table

Boolean matrix representation of rough set in decision table

Improvement Learning Method for Rules of Decision Table

A Third Kind of Inconsistency in Ordered Decision Table

Minimal Reduction Arithmetic in Communication Stations'Decision Table Based on the Rough Set Theory

Extension of VPRS Method for Probabilistic Rule Induction from a Fuzzy Decision Table

Extracting and Optimizing Rules from Incomplete Decision Table for Fault Diagnosis Based on Rough Sets

Attribute Reduction of Incomplete Decision Table Based on Consistent Relation

Study on Application of Petri Nets Model of Transformer Fault Diagnosis Based on Decision Table Reduction

Decision Table Reduction based on Conditional Information Entropy

Two New Reduction Definitions of Decision Table

Reduction of decision values for decision table

The decision-table-based testing technique

Integer Programming Algorithm for Finding Minimal Reduction in Decision Table Based on Rough Set

New Simplified Algorithm of Decision Table for Electric Power Grid Fault Diagnosis Based on Rough Set Theory

Quickly Attribution Reduction Algorithm Based on Decision Table

Optimal Decomposition of Decision Table Systems Based on Bayesian Networks

An Attribute Reduction Algorithm Based on Entropy for Incomplete Decision Table

Data Mining in Interval Valued Decision Table

Decision Table Reduction Algorithm Based on Knowledge Quantity

Method of Granular Computing in Decision Table

A Judgement Method of Decision Table Consistency Based on Discernibility Matrix

Research on knowledge acquisition from decision table based on rough sets theory

A contrast research on consistent and inconsistent decision table based on RS theory

A Decision Table Decomposition Induction Learning Method Based on Rough Set

An Attribute Reduction Approach for Decision Table Based on Reduction Tree

A New Reduction Algorithm of Decision Table

Decision table reduction based on information entropy

Decision table algorithm based on attribute reduction

Design and Comparison of Decision Table Reduction Based on Decision Power

A method that rough set theory is used on fault diagnosis with establishing the decision table of divided piece

Mining Algorithm of Weighted-decision-rules Based on Decision Table

Application of decision table in DSS

A New Method of Attribute Reduction of Decision Table Based on Discernibility Matrix

Algorithm of Extracting Rules from Decision Table Based on Rough Sets

An Algorithm Based on Multi-Tuple Decision Table for Mining Default Rules

Decision Table Reduction Based on Cluster Analysis

A Reduction Approach for Decision Table Based on Distance Graphs

A New Algorithm of Mining Classification Rules Based on Decision Table

Reduction Algorithm to Decision Table Based on Rough Set Theory

A New Method of Decision Table Reduction

A Study on the Reducing Method of Rough Set Decision Table Based on Fuzzy Cluster

Calculation method of core in decision table based on rough sets theory

Method of attribute reduction of decision table based on the information view of rough sets theory