p-Symmetric fuzzy measures
Pedro Miranda, Michel Grabisch (LIP6), Pedro Gil

TL;DR
This paper introduces p-symmetric fuzzy measures, a generalized form of symmetric fuzzy measures based on partitioning the universal set into indifference subsets, exploring their properties, integrals, and interactions.
Contribution
It proposes a novel generalization of symmetric fuzzy measures using indifference subsets, expanding theoretical understanding and analysis of their properties and interactions.
Findings
Properties of p-symmetric fuzzy measures studied
Choquet integral for these measures analyzed
Interaction degree between indifference subsets defined
Abstract
In this paper we propose a generalization of the concept of symmetric fuzzy measure based in a decomposition of the universal set in what we have called subsets of indifference. Some properties of these measures are studied, as well as their Choquet integral. Finally, a degree of interaction between the subsets of indifference is defined.
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Taxonomy
TopicsMulti-Criteria Decision Making · Fuzzy Systems and Optimization
