SVM-FAHP model for the partner selection of virtual research center

Author

Yuan Tian ; Zhimeng Luo

Author_Institution

Dept. of Inf. Technol., Central China Normal Univ., Wuhan, China

fYear

2013

fDate

12-13 Oct. 2013

Firstpage

579

Lastpage

583

Abstract

According to the complexity and the uncertainty in selecting cooperative partner of virtual research center (VRC), a novel evaluation model based on support vector machine and fuzzy analytic hierarchy process (SVM-FAHP) was proposed. The partner selection for the Yalong River hydropower development VRC was presented as an example and a comparison with the previous models was performed. It´s showed that SVM-FAHP model can combine qualitative analysis with quantitative analysis effectively, improve classification precision and select the best partner for VRC objectively.

Keywords

analytic hierarchy process; fuzzy set theory; pattern classification; support vector machines; virtual enterprises; SVM-FAHP model; VRC; Yalong River hydropower development; classification precision; cooperative partner selection; evaluation model; fuzzy analytic hierarchy process; qualitative analysis; quantitative analysis; support vector machine; virtual research center; Analytic hierarchy process; Analytical models; Mathematical model; Rivers; Support vector machines; Fuzzy analytic hierarchy process; Partner selection; Support vector machine; Virtual research center;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on

Conference_Location

Dalian

Type

conf

DOI

10.1109/ICCSNT.2013.6967180

Filename

6967180