Fuzzy rules optimization for analog VLSI implementation

Author

Rovatti, R. ; Guerrieri, R. ; Villa, T.

Author_Institution

Dept. of Electron., Bologna Univ., Italy

Volume

3

fYear

1995

fDate

20-24 Mar 1995

Firstpage

1197

Abstract

In this paper we present new techniques for the automatic reduction of the number of rules required to implement a given fuzzy system. The approach is specifically tuned for the design of efficient and cheap analog systems. The technique is general enough so that it can be applied to several architectures recently proposed in literature. Experimental results show that, on the average, the proposed approach reduces the hardware requirements by a factor two when compared with a straightforward implementation

Keywords

VLSI; analogue integrated circuits; fuzzy set theory; fuzzy systems; inference mechanisms; optimisation; analog VLSI; architectures; fuzzy inference system; fuzzy rules optimization; fuzzy system; minimisation; multivalued logic; Computer numerical control; Energy consumption; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hardware; Multidimensional systems; Proposals; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409835

Filename

409835