Dissimilarity Based Choquet Integrals

Humberto Bustince, Radko Mesiar, Javier Fernández, Mikel Galar, Daniel Paternain, Abdulrahman Altalhi, Graçaliz Pereira Dimuro, Benjamín Bedregal, Zdenko Takáč

Abstract

In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For some particular restricted dissimilarity function the corresponding d-Choquet integral with respect to a fuzzy measure is just the ‘standard’ Choquet integral with respect to the same fuzzy measure. Hence, the class of all d-Choquet integrals encompasses the class of all ‘standard’ Choquet integrals. This approach allows us to construct a wide class of new functions, d-Choquet integrals, that are possibly, unlike the ’standard’ Choquet integral, outside of the scope of aggregation functions since the monotonicity is, for some restricted dissimilarity function, violated and also the range of such functions can be wider than [0, 1], in particular it can be [0, n].

Locations

• Communications in computer and information science - View - PDF