Advanced inference in fuzzy systems by rule base compression

Alexander Gegov, N. Gobalakrishnan

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This paper describes a method for rule base compression of fuzzy systems. The method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base. As a result of this compression, the number of on-line operations during the fuzzy inference process is significantly reduced without compromising the solution. This rule base compression method outperforms significantly other known methods for fuzzy rule base reduction.
Original languageEnglish
Pages (from-to)201-216
Number of pages16
JournalMathware and Soft Computing
Issue number7
Publication statusPublished - 2007


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