Institute of Information Theory and Automation

Publication details

Preaggregation Functions: Construction and an Application

Journal Article

Lucca G., Sanz J. A., Dimuro G. P., Bedregal B., Mesiar Radko, Kolesárová A., Bustince H.


serial: IEEE Transactions on Fuzzy Systems vol.24, 2 (2016), p. 260-272

keywords: aggregation, Choquet integral, fuzzy measures

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abstract (eng):

In this paper, we introduce the notion of preaggregation function. Such a function satisfies the same boundary conditions as an aggregation function, but, instead of requiring monotonicity, only monotonicity along some fixed direction (directional monotonicity) is required.We present some examples of such functions. We propose three different methods to build preaggregation functions. We experimentally show that in fuzzy rule-based classification systems, when we use one of these methods, namely, the one based on the use of the Choquet integral replacing the product by other aggregation functions, if we consider the minimum or the Hamacher product t-norms for such construction, we improve the results obtained when applying the fuzzy reasoning methods obtained using two classical averaging operators such as the maximum and the Choquet integral.

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Last modification: 21.12.2012
Institute of Information Theory and Automation