Fuzzy linear support vector machines

Author

Yang, Zhimin ; Wang, Long ; Deng, Naiyang

Author_Institution

Coll. of Econ. & Manage., China Agric. Univ., Beijing, China

Volume

2

fYear

2004

fDate

15-19 June 2004

Firstpage

1865

Abstract

The paper focuses on the construction of support vector machines when the outputs of training points are triangle fuzzy numbers. First we transform the fuzzy classification problem to chance constrained programming with fuzzy decision, and solve this programming using fuzzy simulation based evolutionary algorithm. Based on this, we proposed the fuzzy linear support vector machines (FLSVM). It can deal with classification problems with fuzzy information as well. At the end, the definition of fuzzy support vector set is given, which can declare the characters of FLSVM.

Keywords

evolutionary computation; fuzzy set theory; pattern classification; support vector machines; chance constrained programming; evolutionary algorithm; fuzzy classification problem; fuzzy decision; fuzzy linear support vector machines; fuzzy support vector set; triangle fuzzy numbers; Educational institutions; Evolutionary computation; Functional programming; Fuzzy sets; Fuzzy systems; Genetic programming; Machine learning; Management training; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1340999

Filename

1340999