Abstract
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 language | English |
|---|---|
| Pages (from-to) | 201-216 |
| Number of pages | 16 |
| Journal | Mathware and Soft Computing |
| Volume | 14 |
| Issue number | 7 |
| Publication status | Published - 2007 |