Center-of-gravity fuzzy systems based on normal fuzzy implications

In this paper, the construction and approximation problem of a single input and single output (SISO) fuzzy system with normal implication and center-of-gravity defuzzifier is discussed. First, the method of a non-singleton fuzzifier for the input variable and the concept of an adaptive universe for...

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Veröffentlicht in:Computers & mathematics with applications (1987) 2011-05, Vol.61 (9), p.2879-2898
Hauptverfasser: Yuan, Xue-hai, Liu, Zeng-liang, Stanley Lee, E.
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creator Yuan, Xue-hai
Liu, Zeng-liang
Stanley Lee, E.
description In this paper, the construction and approximation problem of a single input and single output (SISO) fuzzy system with normal implication and center-of-gravity defuzzifier is discussed. First, the method of a non-singleton fuzzifier for the input variable and the concept of an adaptive universe for the output fuzzy set are proposed. Then, by using this method and this concept of an adaptive universe, SISO fuzzy systems based on center-of-gravity defuzzifier and normal implications such as the Kleene–Dienes implication or the Lukasiewicz implication are constructed. The constructed fuzzy systems have the general form S ¯ ( x ) = A i ∗ ( x ) f ( x i ) + A i + 1 ∗ ( x ) f ( x i + 1 ) , with A i ∗ ( x ) + A i + 1 ∗ ( x ) = 1 , and, furthermore, they are universal approximators. The sufficient conditions for the proposed fuzzy systems to be universal approximators are also obtained. To illustrate the universal property, an example is also given.
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subjects Adaptive universe
Approximation
Center-of-gravity defuzzifier
Construction
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy systems
Mathematical analysis
Non-singleton fuzzifier
Normal implication
Universal approximation
Universe
title Center-of-gravity fuzzy systems based on normal fuzzy implications
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