Title :
Fuzzy Support Vector Classification Based on Fuzzy Chance Constrained Programming
Author :
Yang, Zhimin ; Liu, GuangLi
Author_Institution :
Coll. of Zhijiang, Zhejiang Univ. of Technol., Hangzhou
Abstract :
This paper is concerned with the fuzzy support vector classification in which the type of both the output of the training point and the value of the final fuzzy classification function is triangle fuzzy number. First, the fuzzy classification problem is formulated as a fuzzy chance constrained programming. Then we transform this programming into its equivalence quadratic programming. As a result, we propose fuzzy support vector classification algorithm. In order to show its rationality of the algorithm, an example is presented
Keywords :
constraint handling; fuzzy set theory; learning (artificial intelligence); pattern classification; quadratic programming; support vector machines; fuzzy chance constrained programming; fuzzy support vector classification; machine learning; quadratic programming; triangle fuzzy number; Classification algorithms; Educational institutions; Functional programming; Fuzzy sets; Linear programming; Machine learning; Machine learning algorithms; Quadratic programming; Support vector machine classification; Support vector machines; Machine learning; fuzzy support vector classification; possibility measure; triangle fuzzy number;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.294117
