Intuitionistic Fuzzy Support Vector Machine

doi:10.3969/j.issn.1000-1565.2011.03.001

Abstract

CLC Number:

TP181

HA Ming-hu,HUANG Shu,WANG Chao,WANG Xiao-li. Intuitionistic Fuzzy Support Vector Machine[J]. Journal of Hebei University (Natural Science Edition), 2011, 31(3): 225-229.

[1] 张翔, 肖小玲, 徐光祐, ZHANG Xiang, XIAO Xiao-ling, Xu Guang-you. 模糊支持向量机中隶属度的确定与分析 [J]. 中国图象图形学报 2006.doi:10.3969/j.issn.1006-8961.2006.08.022
[2] VAPNIK V N. The Nature of Statistical Learning Theory [M]. New York:springer-verlag 1995.
[3] 哈明虎, 王超, 张植明. 不确定统计学习理论 [M]. 北京:科学出版社 2010.
[4] LIN C F, WANG S D. Fuzzy support vector machines [J]. IEEE Transactions on Neural Networks 2002, 13.
[5] LIN C F, WANG S D. Fuzzy support vector machines with automatic membership setting [J]. Studies in Fuzziness and Soft Computing 2005, 177.
[6] ZADEH L A. Fuzzy sets [J]. Information and Control 1965, 8.
[7] 陈水利, 李敬功, 王向公. 模糊集理论及其应用 [M]. 北京:科学出版社 2005.
[8] ATANASSOV K. Intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems 1986, 20.
[9] ATANASSOV K T. New operations defined over the intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems 1994, 61.
[10] Deschrijver G, Kerre EE. On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision [J]. Information Sciences: An International Journal 2007, 8(8).
[11] Tamalika Chaira, A. K. Ray. A new measure using intuitionistic fuzzy set theory and its application to edge detection [J]. Applied Soft Computing 2008, 2(2).
[12] Vahid Khatibi, Gholam Ali Montazer. Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition [J]. Artificial intelligence in medicine 2009, 1(1).
[13] Hung WL, Yang MS. On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition [J]. Information Sciences: An International Journal 2008, 6(6).
[14] Ioannis K. Vlachos, George D. Sergiadis. Intuitionistic fuzzy information - Applications to pattern recognition [J]. Pattern recognition letters 2007, 26(26).
[15] 徐泽水. 直觉模糊信息集成理论及应用 [M]. 北京:科学出版社 2008.

Intuitionistic Fuzzy Support Vector Machine

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