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Research For The Classification Model And The Problem Of The Learning Of Its Fuzzy Complex Measure Based On Complex Choquet Fuzzy Integral

Posted on:2013-07-30Degree:MasterType:Thesis
Country:ChinaCandidate:Z Q ZhaoFull Text:PDF
GTID:2230330374474801Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
In this paper, studied the application of complex choquet fuzzy integral inclassifier, First, given a single classifier model and multi classifier model base on it,and then experiments with the internationally database----UCI, Achieved relativelygood results, verified the classification performance and feasibility, Second, In theabove model, the determination of complex fuzzy measure is the key, which is thecore part of this paper, to solve the problem of the determination of fuzzy complexmeasure, which is to learned fuzzy complex measure with global particle swarmoptimization, and experiment with the internationally database also, achieved veryexcellent results, determined that this method is effectiveness and accuracy.
Keywords/Search Tags:Complex Choquet Fuzzy Integral, Classifier, Fuzzy Complex Measure, Particle Swarm Optimization, Fuzzy Complex Measure Learning
PDF Full Text Request
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