求助fuzzy clustering 方面的文献 每篇5币 谢谢

1.【作者(必填)】Kit Yan Chana, , , , C.K. Kwongb, 1, , B.Q. Huc,

【文题(必填)】Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods

【年份(必填)】2013

【全文链接或数据库名称(选填)】http://www.sciencedirect.com/science/article/pii/S1568494611004686

2.【作者(必填)】Xuesong Yina, , , Ting Shub, Qi Huangc

【文题(必填)】Semi-supervised fuzzy clustering with metric learning and entropy regularization

【年份(必填)】2012

【全文链接或数据库名称(选填)】http://www.sciencedirect.com/science/article/pii/S0950705112001669

3.【作者(必填)】Zhenning Wu, Author Vitae, Huaguang ZhangAuthor Vitae, Jinhai Liu

【文题(必填)】A fuzzy support vector machine algorithm for classification based on a novel PIM fuzzy clustering method

【年份(必填)】2013

【全文链接或数据库名称(选填)】http://www.sciencedirect.com/science/article/pii/S0925231213001926

4.【作者(必填)】Muqi Wulana, , Author Vitae, Dobrila Petrovicb,

【文题(必填)】A fuzzy logic based system for risk analysis and evaluation within enterprise collaborations

【年份(必填)】2012

【全文链接或数据库名称(选填)】http://www.sciencedirect.com/science/article/pii/S0166361512001315

5.【作者(必填)】Junhu Ruana, , Xuping Wanga, , , Yan Shia, b,

【文题(必填)】Developing fast predictors for large-scale time series using fuzzy granular support vector machines

【年份(必填)】2012

【全文链接或数据库名称(选填)】http://www.sciencedirect.com/science/article/pii/S1568494612004218

6.【作者(必填)】Xuzhu Wang, Xue Cao, Caiping Wu, , Juan Chen

【文题(必填)】Indicators of fuzzy relations

【年份(必填)】2013

【全文链接或数据库名称(选填)】http://www.sciencedirect.com/science/article/pii/S0165011412003296

Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods

Semi-supervised fuzzy clustering with metric learning and entropy regularization

A fuzzy support vector machine algorithm for classification based on a novel PIM fuzzy clustering method

A fuzzy logic based system for risk analysis and evaluation within enterprise collaborations

Developing fast predictors for large-scale time series using fuzzy granular support vector machines

Indicators of fuzzy relations