Combinatorial rule explosion eliminated by a fuzzy rule configuration
- 1 February 1998
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Fuzzy Systems
- Vol. 6 (1) , 1-11
- https://doi.org/10.1109/91.660804
Abstract
Conventional fuzzy inference methodology relates the relevant subsets of each input universal set to the subsets of the other system inputs through an intersection-rule configuration. This strategy yields an exponential growth in the number of rules as inputs are added to the system, quickly reducing performance to unacceptable levels. A novel rule configuration and matrix design are presented in this paper that do not rely on rule multiplication to insure that antecedent elements are effectively related to their consequent counterparts. This alternative formulation models the entire system problem space with a simplified structure that increases linearly as the inference engine grows, providing significant computational savings to a broad range of commercial and scientific applications.Keywords
This publication has 7 references indexed in Scilit:
- Fuzzy rules optimization and logic synthesisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Method and software for extracting fuzzy classification rules by subtractive clusteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Selecting fuzzy if-then rules for classification problems using genetic algorithmsIEEE Transactions on Fuzzy Systems, 1995
- Application of a fuzzy discrimination analysis for diagnosis of valvular heart diseaseIEEE Transactions on Fuzzy Systems, 1994
- Neural networks in designing fuzzy systems for real world applicationsFuzzy Sets and Systems, 1994
- Learning of fuzzy rules by mountain clusteringPublished by SPIE-Intl Soc Optical Eng ,1993
- Fuzzy Set Theory — and Its ApplicationsPublished by Springer Nature ,1991