Article ID Journal Published Year Pages File Type
389599 Fuzzy Sets and Systems 2016 19 Pages PDF
Abstract

In this paper we introduce the definition of n-dimensional overlap functions and we justify the axiomatization proposed in its definition. Basically, these functions allow to measure the degree of overlapping of several classes in a given classification system and for any given object. We also show a construction method for this class of functions, studying its relationships with the properties of migrativity, homogeneity and Lipschitz continuity. Finally, we propose an example where the use of n-dimensional overlap functions provides better results than those obtained with the commonly used product t-norm.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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