نتایج جستجو برای: choquet integral

تعداد نتایج: 115545  

Journal: :International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 1995
Michio Sugeno Katsushige Fujimoto Toshiaki Murofushi

In this paper we give a nesessary and sufficient condition for a Choquet integral model to be decomposable into an equivalent hierarchical Choquet integral model constructed by hierarchical combinations of some ordinary Choquet integral models. The condition is obtained by Inclution-Exclusion Covering (IEC). Moreover we show some properties on the set of IECs.

2007
Marta Cardin Silvio Giove

This paper deals with non-monotonic Choquet integral, a generalization of the regular Choquet integral. The discrete non-monotonic Choquet integral is considered under the viewpoint of aggregation. In particular we give an axiomatic characterization of the class of non-monotonic Choquet integrals.We show how the Shapley index, in contrast with the monotonic case, can assume positive values if t...

Journal: :Kybernetika 2010
Radko Mesiar Jun Li Endre Pap

The integral inequalities known for the Lebesgue integral are discussed in the framework of the Choquet integral. While the Jensen inequality was known to be valid for the Choquet integral without any additional constraints, this is not more true for the Cauchy, Minkowski, Hölder and other inequalities. For a fixed monotone measure, constraints on the involved functions sufficient to guarantee ...

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2004

M. Aggarwal

Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among the attributes. Besides the DM's attitudinal character is also taken into consideration in the computation of choice probabilities. The proposed choice models make us...

2014
Thibaut Lust Antoine Rolland

In this paper, we propose a sufficient condition for a solution to be optimal for a 2-additive Choquet integral in the context of multiobjective combinatorial optimization problems. A 2-additive Choquet optimal solution is a solution that optimizes at least one set of parameters of the 2-additive Choquet integral. We also present a method to generate 2-additive Choquet optimal solutions of mult...

2009
Ulrich Faigle Michel Grabisch

In works dealing with capacities (fuzzy measures) and the Choquet integral on finite spaces, it is usually considered that all subsets of the universe are measureable. Hence, all functions are integrable in the sense of Choquet. We consider the situation where some subsets are not measurable (not feasible), so that there are nonintegrable functions. Since this is a severe limitation in applicat...

2015

Jang, Kim and Kwon introduced a multi-valued Choquet integral for multifunctions with respect to real fuzzy measures and Zhang, Guo and Liu established for this kind of integral some convergence theorems. The aim of this paper is to present another type of set-valued Choquet integral, called by us the Aumann-Choquet integral, for non-negative measurable functions with respect to multisubmeasure...

2004
Yasuo Narukawa Toshiaki Murofushi

The usefulness of the Choquet integral for modelling decision under risk and uncertainty is shown. It is shown that some paradoxes of expected utility theory are solved using Choquet integral. It is shown that Choquet expected utility model for decision under uncertainty and rank dependent utility model for decision under risk are respectively same as their simplified version.

2011
Brice Mayag Michel Grabisch Christophe Labreuche

Résumé : L’utilisation de l’intégrale de Choquet en Aide Multicritère à la Décision (AMCD) nécessite l’identification de la capacité qui lui est associée. Nous proposons ici un algorithme de détermination d’une capacité pour l’intégrale de Choquet 2-additive à partir d’une information ordinale fournie par le décideur. Mots-clés : AMCD, intégrale de Choquet, capacité 2-additive. Abstract: The us...

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