Institute of Information Theory and Automation

You are here

Bibliography

Journal Article

Generalized CF1F2-integrals: From Choquet-like aggregation to ordered directionally monotone functions

Dimuro G. P., Lucca G., Bedregal B., Mesiar Radko, Sanz A., Ling S.-T., Bustince H.

: Fuzzy Sets and Systems vol.378, 1 (2020), p. 44-67

: Uninorm, Fuzzy Implication, Distributivity

: 10.1016/j.fss.2019.01.009

: http://library.utia.cas.cz/separaty/2020/E/mesiar-0531646.pdf

: https://www.sciencedirect.com/science/article/pii/S0165011418305451

(eng): This paper introduces the theoretical framework for a generalization of CF1F2-integrals, a family of Choquet-like integrals used successfully in the aggregation process of the fuzzy reasoning mechanisms of fuzzy rule based classification systems. The proposed generalization, called by gCF1F2-integrals, is based on the so-called pseudo pre-aggregation function pairs (F1,F2), which are pairs of fusion functions satisfying a minimal set of requirements in order to guarantee that the gCF1F2-integrals to be either an aggregation function or just an ordered directionally increasing function satisfying the appropriate boundary conditions. We propose a dimension reduction of the input space, in order to deal with repeated elements in the input, avoiding ambiguities in the definition of gCF1F2-integrals. We study several properties of gCF1F2-integrals, considering different constraints for the functions F1 and F2, and state under which conditions gCF1F2-integrals present or not averaging behaviors. Several examples of gCF1F2-integrals are presented, considering different pseudo pre-aggregation function pairs, defined on, e.g., t-norms, overlap functions, copulas that are neither t-norms nor overlap functions and other functions that are not even pre-aggregation functions.

: BA

: 10102

2019-01-07 08:39