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Preaggregation Functions: Construction and an Application

delete2016-04-01
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OA
AI
G
Giancarlo Lucca
J
José Sanz
G
Graçaliz Pereira Dimuro *
B
Benjamín Bedregal *
R
Radko Mesiar *
A
Anna Kolesárová *
H
Humberto Bustince *
DOI:10.1109/TFUZZ.2015.2453020delete
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摘要

摘要

En 中文
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.
Keyword:
Aggregation functions
Choquet integral
directional monotonicity
fuzzy measures
fuzzy reasoning method (FRM)
fuzzy rule-based classification systems (FRBCSs)
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IEEE Transactions on Fuzzy Systems 封面图
IEEE Transactions on Fuzzy Systems
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