Fuzzy Comprehensive Evaluation Model Based on SVM

Author

Xian Sidong

Author_Institution

Coll. of Math. & Phys., Chonging Univ. of Posts & Telecommun., Chonging

fYear

2009

fDate

23-25 Jan. 2009

Firstpage

97

Lastpage

100

Abstract

The fuzzy comprehensive evaluation has the extensive application both in theory and practice, how to reasonably quantify the weights of different evaluation indexes in the fuzzy system is the key problem of it. In this text , a new method namely supper vector machine fuzzy comprehensive evaluation(SVM-FCEM),which can be to calculate the weight of the elements by the method of SVM structuring classification, is established, based on introducing the theory of SVM in briefly. the application shows that this method is stable, and the calculation result is objective.

Keywords

fuzzy systems; learning (artificial intelligence); pattern classification; support vector machines; SVM structuring classification; fuzzy comprehensive evaluation model; fuzzy system; network learning; support vector machine; Equations; Fuzzy systems; Informatics; Information security; Information technology; Linearity; Mathematical model; Support vector machine classification; Support vector machines; Virtual colonoscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology and Security Informatics, 2009. IITSI '09. Second International Symposium on

Conference_Location

Moscow

Print_ISBN

978-1-4244-3580-7

Type

conf

DOI

10.1109/IITSI.2009.28

Filename

4777557