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A genetic integrated fuzzy classifier
Pattern Recognition Letters, 2005This paper introduces a new classifier, that is based on fuzzy-integration schemes controlled by a genetic optimisation procedure. Two different types of integration are proposed here, and are validated by experiments on real data sets of biological cells.
DI GESU', Vito, LO BOSCO, Giosue'
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Multidimensional Fuzzy Integrals
2007This paper studies multidimensional fuzzy integrals. We consider a multidimensional generalized fuzzy integral that generalizes the multidimensional Choquet and Sugeno integrals. Then, an extension of part of Fubini's theorem is given. Finally, citation analysis is considered as an example of the application of the results presented here.
Yasuo Narukawa, Vicenç Torra
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An integrated fuzzy cells-classifier
Image and Vision Computing, 2006This 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, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Generalized fuzzy integrals of fuzzy-valued functions
Fuzzy Sets and Systems, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Caimei Guo, Deli Zhang, Congxin Wu
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The Fuzzy Riemann-Stieltjes Integral
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998In 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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FUZZY PATTERN RECOGNITION BY FUZZY INTEGRALS AND FUZZY RULES
2001We give an overview of the application of fuzzy rules and fuzzy integrals in classification, presenting the general methodology and illustrating it by giving real applications. Fuzzy rules have been most of the time devoted to fuzzy control, using the so-called “Mamdani rules”. Here we present a broader view of the topic in the framework of possibility
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On fuzzy measure and fuzzy integral on fuzzy set
Fuzzy Sets and Systems, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Sugeno fuzzy integral for finding fuzzy if–then classification rules
Applied Mathematics and Computation, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Integration of Fuzzy Level Sets
2015We 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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