Rule base reduction methods for fuzzy systems

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

The first group of methods for rule base reduction are aimed at removing less significant or merging similar linguistic values [67, 68]. For simplicity, this group of methods and all other methods in the current chapter will be illustrated by integer tables such that the linguistic values of the inputs are coded by integers whereas the outputs are either skipped as irrelevant or presented in a general form.

Original languageEnglish
Title of host publicationComplexity Management in Fuzzy Systems
Subtitle of host publicationA Rules Base Compression Approach
PublisherSpringer
Chapter6
Pages17-31
Number of pages15
Edition1st
ISBN (Electronic)9783540388852
ISBN (Print)3540388834, 9783540388838
DOIs
Publication statusPublished - 2 Jun 2007

Publication series

NameStudies in Fuzziness and Soft Computing
Volume211
ISSN (Print)1434-9922
ISSN (Electronic)1860-0808

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