Choquet fuzzy integral classifier based on extreme learning machine

doi:10.3969/j.issn.1000-1565.2019.04.001

Abstract

Abstract: In the interactive environments,fuzzy integral classifier has shown its good classification performance. A key problem in the fuzzy integral classifier is to determine the fuzzy measure defined in the power set of attributes. The computational complexity increases exponentially as the number of attributes increases. In order to solve the problem, drawing lessons from the idea of random determination of weight vector in extrem learning machine algorithm, this paper puts forward an ELM-Choquet fuzzy integral classifier. The experiment result shows that compared with the Choquet fuzzy integral classifier, this algorithm has better classification performance.

Key words: fuzzy measure, fuzzy integral, Choquet fuzzy integral classifier, extreme learning machine, genetic algorithm

CLC Number:

TP18

CHEN Aixia,ZHANG Chunqin. Choquet fuzzy integral classifier based on extreme learning machine[J]. Journal of Hebei University (Natural Science Edition), 2019, 39(4): 337-341.

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