A novel fuzzy logic system based on N-version programming.

For the consideration of different application systems, modeling the fuzzy logic rule, and deciding the shape of membership functions are very critical issues due to they play key roles in the design of fuzzy logic control system. This paper proposes a novel design methodology of fuzzy logic control...

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Pubblicato in:	IEEE Transactions on fuzzy systems 8, 2 (2000).
Autore principale:	Yen-Tseng Hsu
Natura:	Articolo
Lingua:	English
Soggetti:	N-version programming. Connectionist architecture. Fault-tolerant approach. Fuzzy IF-THEN rule preconditions. Fuzzy class partition. Fuzzy linguistic variable partition. Fuzzy logic control system design. Fuzzy logic rule. Fuzzy logic system. Learning capability. Membership function shape. Multiversion programming. Neural network approach. Noise-tolerant capability. Parallel architecture. Parameterized membership function modeling. Pattern recognition. Self-organizing algorithm. Tendency prediction. Unsupervised learning algorithms.