Systematic design approach for multivariable fuzzy expert system

Author

Liu, Bin-Da ; Huang, Chun-Yueh

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

1994

fDate

26-29 Jun 1994

Firstpage

2094

Abstract

An algorithm to improve the Gupta´s structure is proposed for the design of a multivariable fuzzy expert system. By this algorithm, the mapping problem is solved but the properties of systematic analysis and the regular design procedure are preserved. A new scheme which can save great amount of storage in implementing the relation matrices is presented. A famous example of inverted pendulum in fuzzy system is used to explain this algorithm. Taking the advantage of the composition rule of fuzzy inference, the inference speed of this structure is fast and it is suitable for real time processing

Keywords

expert systems; fuzzy control; fuzzy logic; fuzzy systems; inference mechanisms; multivariable systems; uncertainty handling; Gupta´s structure; fuzzy inference; fuzzy system; inverted pendulum; mapping problem; multivariable fuzzy expert system; relation matrices; systematic design; Algorithm design and analysis; Decision making; Design methodology; Engines; Expert systems; Fuzzy logic; Fuzzy systems; Hybrid intelligent systems; Inference algorithms; Production systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343542

Filename

343542