Algorithms for fuzzy inference and tuning in the fuzzy inference software FINEST

Author

Arnould, Thierry ; Tano, Shun´ichi ; Miyoshi, Tsutomu ; Kato, Yasunori ; Oyama, Takuya ; Bastian, Andreas ; Umano, Motohide

Author_Institution

Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan

Volume

2

fYear

1995

fDate

20-24 Mar 1995

Firstpage

1057

Abstract

In this paper, we explain the algorithms used in FINEST, the Fuzzy Inference Environment Software with Tuning developed at LIFE (Laboratory for International Fuzzy Engineering Research). The research themes and associated algorithms were defined to palliate the insufficiencies of usual inference methods and come naturally from the formulation of fuzzy “if... then...” rules. In particular, enhanced versions of combination operators, implication functions and aggregation operators are proposed, as well as a mechanism to tune the parameters used in the definition of the knowledge used in the system. Finally, one definition and formulation of backward reasoning with fuzzy “if... then...” rules is proposed

Keywords

fuzzy logic; inference mechanisms; FINEST; Fuzzy Inference Environment Software with Tuning; aggregation operators; backward reasoning; combination operators; fuzzy IF-THEN rules; fuzzy inference software; fuzzy tuning; implication functions; Artificial intelligence; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Inference algorithms; Logic; Natural languages; Software algorithms; Systems engineering and theory; Uncertainty;

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.1995.409811

Filename

409811