Results 171 to 180 of about 1,129,804 (223)
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Pseudo-integral and generalized Choquet integral
Fuzzy Sets and Systems, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radko Mesiar, Endre Pap
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Numerical integration for the Choquet integral
Information Fusion, 2016Study of the Choquet integral for continuous functions.Numerical integration for the Choquet integral on the real line.Numerical examples of the computation of the numerical Choquet integral.Numerical computation of the Hellinger distance for fuzzy measures.
Yasuo Narukawa, Vicenç Torra
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The balancing Choquet integral
Fuzzy Sets and Systems, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
R Mesiar
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On the coincidence of the pan-integral and the Choquet integral
Fuzzy Sets and Systems, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun Li 0014 +3 more
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Collection integral vs. Choquet integral
Fuzzy Sets and Systems, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adam Seliga, Peter Smrek
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Fuzzy Sets and Systems, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ion Chitescu, Anca Plavitu
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ion Chitescu, Anca Plavitu
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Explainable AI for the Choquet Integral
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021The modern era of machine learning is focused on data-driven solutions. While this has resulted in astonishing leaps in numerous applications, explainability has not witnessed the same growth. The reality is, most machine learning solutions are black boxes. Herein, we focus on data/information fusion in machine learning. Specifically, we explore four
Bryce J. Murray +6 more
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Nonmonotonic Choquet integrals
Journal of Mathematical Economics, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Waegenaere, A., Wakker, P.P.
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SET DEFUZZIFICATION AND CHOQUET INTEGRAL
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001In this paper, we discuss the defuzzification problem. We first propose a set defuzzification method, (from a fuzzy set to a crisp set) by using the Aumann integral. From the obtained set to a point, we have two methods of defuzzification. One of these uses the mean value method and the other uses a fuzzy measure.
Yukio Ogura, Shoumei Li, Dan A. Ralescu
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2014
Fuzzy measures on multisets are studied in this paper. We show that a class of multisets on a finite space can be represented as a subset of positive integers. Comonotonicity for multisets are defined. We show that a fuzzy measure on multisets with some comonotonicity condition can be represented by a generalized fuzzy integral.
Yasuo Narukawa, Vicenç Torra
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Fuzzy measures on multisets are studied in this paper. We show that a class of multisets on a finite space can be represented as a subset of positive integers. Comonotonicity for multisets are defined. We show that a fuzzy measure on multisets with some comonotonicity condition can be represented by a generalized fuzzy integral.
Yasuo Narukawa, Vicenç Torra
openaire +2 more sources