2009Unpublished venueRequires access

Rule induction from two decision tables based on rough sets

Yan Zhang, Xuefeng Zhang, Feng Zhu

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Abstract

In this paper, rule induction from several decision tables based on rough set analysis is studied. First, the traditional method of rule induction based on rough sets and the combination rule of several decision rules are given. In the same decision table, different determination factors from different aspects of the extraction methods in this article have been discussed and the corresponding conclusions are given. From the two decision making table to extract rules is also discussed. At last, an example is given to verify the feasibility.

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What this paper is about

In this paper, rule induction from several decision tables based on rough set analysis is studied. First, the traditional method of rule induction based on rough sets and the combination rule of several decision rules are given. In the same decision table, different determination factors from different aspects of the extraction methods in this article have been discussed and the corresponding conclusions are given. From the two decision making table to extract rules is also discussed. At last, an example is given to verify the feasibility.

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Available abstract

In this paper, rule induction from several decision tables based on rough set analysis is studied. First, the traditional method of rule induction based on rough sets and the combination rule of several decision rules are given. In the same decision table, different determination factors from different aspects of the extraction methods in this article have been discussed and the corresponding conclusions are given. From the two decision making table to extract rules is also discussed. At last, an example is given to verify the feasibility.

Key concepts: Decision table, Rule induction, Rough set, Decision rule, Computer science, Dominance-based rough set approach, Data mining, Table (database)

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