Results 261 to 270 of about 145,135 (302)
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Fuzzy integrals and conditional fuzzy measures
Fuzzy Sets and Systems, 1983We introduce a fuzzy integral for fuzzy events with respect to @l-additive fuzzy measures. This integral is the canonical generalization of the Lehesgue integral. A Radon-Nikodym-like theorem is used to give the definition of the conditional fuzziness.
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Attributed concept maps: fuzzy integration and fuzzy matching
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2001A concept map, typically depicted as a connected graph, is composed of a collection of propositions. Each proposition forming a semantic unit consists of a small set of concept nodes interconnected to one another with relation links. Concept maps possess a number of appealing features which make them a promising tool for teaching, learning, evaluation,
S W, Chen, S C, Lin, K E, Chang
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Fuzzy Integral Project Manager Selection
Australian Journal of Multi-Disciplinary Engineering, 2013As in many decision problems, project manager selection is very complex in real life. Although many studies have investigated this problem, however, dependency of criteria has not been considered in the majority of the reviewed studies. The main objective of this study is to evaluate a candidate by developing a model based on fuzzy integrals for ...
AR Afshari, RM Yusuff
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A New fuzzy McShane integrability
Mathematica Slovaca, 2021Abstract We introduce the notion of the fuzzy McShane integral in the linear topology sense and we discuse its relation with the fuzzy Pettis integral introduced recently by Chun-Kee Park in [On the Pettis integral of fuzzy mappings in Banach spaces, Commun. Korean Math. Soc. 22 (2007), 535–545].
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Fuzzy Sets and Systems, 1994
Abstract Cluster analysis is a valuable tool for exploratory pattern analysis, especially when the information available is not complete, and/or the data model is affected by uncertainty, and imprecision. Here a new integrated clustering method, based on a fuzzy approach is proposed.
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Abstract Cluster analysis is a valuable tool for exploratory pattern analysis, especially when the information available is not complete, and/or the data model is affected by uncertainty, and imprecision. Here a new integrated clustering method, based on a fuzzy approach is proposed.
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Fuzzy integrals—what are they?
International Journal of Intelligent Systems, 2008Summary: We bring an overview of fuzzy integrals, including historical remarks. These integrals can be viewed as an average membership value of fuzzy sets, and they are related to fuzzy measures. The Choquet integral can be traced back to 1925. The Sugeno integral has a predecessor in the Shilkret integral from 1971.
Mesiar, Radko, Mesiarová, Andrea
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The Fuzzy Riemann-Stieltjes Integral
International Journal of Theoretical Physics, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ren, Xuekun, Wu, Chong
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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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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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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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