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An integrated fuzzy cells-classifier

Image and Vision Computing, 2006
This paper introduces a genetic algorithm able to combine different classifiers based on different distance functions. The use of a genetic algorithm is motivated by the fact that the combination phase is based on the optimization of a vote strategy. The method has been applied to the classification of four types of biological cells, results show an ...
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On fuzzy measures defined by seminormed fuzzy integrals and semiconormed fuzzy integrals

Fuzzy Sets and Systems, 1993
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The Fuzzy Riemann-Stieltjes Integral

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998
In the classcial sense, the expectation is sometimes defined as Riemann-Stieltjes integral. In this paper, we propose the concept of fuzzy Riemann-Stieltjes integral to make the expectation of fuzzy random variable applicable to statistical analysis for imprecise data.
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A note on fuzzy integral equations

Fuzzy Sets and Systems, 1999
Integration of fuzzy mappings was introduced by \textit{D. Dubois} and \textit{H. Prade} [Fuzzy Sets Syst. 8, 105-116 (1982; Zbl 0493.28003)] and generalized by \textit{R. Goetschel jun.} and \textit{W. Voxman} [Fuzzy Sets Syst. 18, 31-43 (1986; Zbl 0626.26014)] using a concept of parametric fuzzy numbers.
Jong Yeoul Park, Jae Ug Jeong
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On fuzzy measure and fuzzy integral on fuzzy set

Fuzzy Sets and Systems, 1990
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Sugeno fuzzy integral for finding fuzzy if–then classification rules

Applied Mathematics and Computation, 2007
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On the Integration of Fuzzy Level Sets

2015
We study the integration of fuzzy level sets associated with a fuzzy random variable when the underlying space is a separable Banach space or a weak star dual of a separable Banach space. In particular, the expectation and the conditional expectation of fuzzy level sets in this setting are presented.
Castaing, Charles   +3 more
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On the use of fuzzy integral as a fuzzy connective

[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 2002
The author shows some results which clarify the use of the fuzzy integral as a fuzzy connective. Fuzzy integrals of discrete functions can be considered as a class of fuzzy connectives, of which several properties are already known (continuity, monotonicity, idempotency, etc.), making them very near the concept of the averaging operator. Relations with
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On the (N)fuzzy integral

1984
The notion of (N)fuzzy integrals was introduced by \textit{Ruhnai Zhao} [see J. Math. Res. Expo. 1981, No.2, 55-72 (1981; Zbl 0492.28001)]. In this paper the (N)fuzzy integral is studied by using the structural characteristics proposed by Zhenyuan Wang, necessary and sufficient conditions for the convergence of a sequence of (N)fuzzy integrals when the
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Fuzzy integrals on L-fuzzy sets

Fuzzy Sets and Systems, 1990
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