Study on the Decision-Making Technique Based on Fuzzy Support Vector Machine

Author

An, Jinlong ; Yang, Qingxin ; Ma, Zhenping ; Liu, Suzhen

Author_Institution

Hebei Univ. of Technol., Tianjin

Volume

2

fYear

0

fDate

0-0 0

Firstpage

6034

Lastpage

6038

Abstract

At present, classification method based on support vector machine can not be used as a decision-making technique yet, but an auxiliary tool for decision-making in practice because the forecasting correct rate of which is difficult to reach as high as one hundred percent. At the same time, SVM method is very sensitive to noise and outlier points. In order to overcome the disadvantages above, a fuzzy support vector machine method for decision-making is presented. By giving different fuzzy factor to different classification samples in SVM, the decision-making hyperplane of each class samples can be obtained, on which the decision can be made in practical system of decision. The simulation demonstrates the effectiveness of this approach

Keywords

decision making; fuzzy set theory; pattern classification; support vector machines; classification method; decision-making hyperplane; fuzzy support vector machine; Automatic control; Decision making; Electromagnetic fields; Fuzzy systems; Learning systems; Load forecasting; Machine learning; Support vector machine classification; Support vector machines; Technology forecasting; Decision-making hyperplane; Fuzzy factor; Support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714238

Filename

1714238