OWA-weighted based clustering method for classification problem

[1]  Chin-Teng Lin,et al.  Support-vector-based fuzzy neural network for pattern classification , 2006, IEEE Transactions on Fuzzy Systems.

[2]  Ching-Hsue Cheng,et al.  Mcdm Aggregation Model Using Situational Me-OWA and Me-Owga Operators , 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[3]  Byeong Seok Ahn,et al.  On the properties of OWA operator weights functions with constant level of orness , 2006, IEEE Transactions on Fuzzy Systems.

[4]  Ching-Hsue Cheng,et al.  Fuzzy Clustering-Based on Aggregate Attribute Method , 2006, IEA/AIE.

[5]  Ronald R. Yager,et al.  Modeling prioritized multicriteria decision making , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[6]  Huan Liu,et al.  A selective sampling approach to active feature selection , 2004, Artif. Intell..

[7]  Xinwang Liu.  Three Methods for Generating Monotonic OWA Operator Weights with Given Orness Level , 2004 .

[8]  Amitava Chatterjee,et al.  Influential rule search scheme (IRSS) - a new fuzzy pattern classifier , 2004, IEEE Transactions on Knowledge and Data Engineering.

[9]  Ferenc Szeifert,et al.  Supervised fuzzy clustering for the identification of fuzzy classifiers , 2003, Pattern Recognit. Lett..

[10]  Margaret H. Dunham,et al.  Data Mining: Introductory and Advanced Topics , 2002 .

[11]  Sanmay Das,et al.  Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection , 2001, ICML.

[12]  Chih-Ming Chen,et al.  An efficient fuzzy classifier with feature selection based on fuzzy entropy , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[13]  Robert Fullér,et al.  An Analytic Approach for Obtaining Maximal Entropy Owa Operator Weights , 2001, Fuzzy Sets Syst..

[14]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[15]  Lionel Valet,et al.  A statistical overview of recent literature in information fusion , 2000, Proceedings of the Third International Conference on Information Fusion.

[16]  Hisao Ishibuchi,et al.  Effect of rule weights in fuzzy rule-based classification systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[17]  Tzung-Pei Hong,et al.  Finding relevant attributes and membership functions , 1999, Fuzzy Sets Syst..

[18]  Aaron H. Konstam.  Group classification using a mix of genetic programming and genetic algorithms , 1998, SAC '98.

[19]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[20]  Huan Liu,et al.  Neural-network feature selector , 1997, IEEE Trans. Neural Networks.

[21]  Tzung-Pei Hong,et al.  Induction of fuzzy rules and membership functions from training examples , 1996, Fuzzy Sets Syst..

[22]  Gerald Keller,et al.  Statistics for Management and Economics , 1990 .

[23]  W. W. Daniel,et al.  Business Statistics for Management and Economics , 1989 .

[24]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[25]  M. O'Hagan,et al.  Aggregating Template Or Rule Antecedents In Real-time Expert Systems With Fuzzy Set Logic , 1988, Twenty-Second Asilomar Conference on Signals, Systems and Computers.

[26]  Anil K. Jain,et al.  39 Dimensionality and sample size considerations in pattern recognition practice , 1982, Classification, Pattern Recognition and Reduction of Dimensionality.

[27]  T. Sincich,et al.  Statistics for business and economics , 1978 .

[28]  D. M. Ellis,et al.  Applied Regression Analysis , 1968 .