DocumentCode :
2733438
Title :
A Study on Particle Fuzzy Reasoning Method
Author :
Shimakawa, Manabu
Author_Institution :
Kumamoto Nat. Coll. of Technol., Kumamoto
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
14
Lastpage :
14
Abstract :
General fuzzy reasoning methods, e.g. Mamdani´s method and the same kinds, can deal with fuzzy input and fuzzy output. But, its fuzzy outcomes are liable to be complex shape membership function. Therefore, its representative value is generally obtained by defuzzification technique, and is used as a reasoning result. This paper proposes the Particle Fuzzy Reasoning Method that deals with fuzzy input and fuzzy output, too. This method makes the input fuzzy set discrete values, and considers them to be particles. Each particle is used for general fuzzy reasoning as an input. The reasoning results from the particles are united into one. If a fuzzy number is given as an input, the fuzzy outcome becomes a fuzzy number.
Keywords :
fuzzy reasoning; fuzzy set theory; number theory; defuzzification technique; fuzzy number; fuzzy set discrete value outcome; particle fuzzy reasoning method; Computational complexity; Educational institutions; Equations; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Large scale integration; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.96
Filename :
4427661
Link To Document :
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