Advanced Inference in Fuzzy Systems by Rule Base Compression

This paper describes a method for formal compression of fuzzy systems. This 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 and its software implementation outperform significantly than all other known methods for fuzzy rule base reduction.

• Type: Conference
• Year: 2007
• Where: EUSFLAT
• Authors: Alexander Gegov, Neelamugilan Gobalakrishnan
• Keywords: EUSFLAT 2007, Fuzzy Inference Process, Fuzzy Rule Base, Fuzzy Systems