A dominance intuitionistic fuzzy-rough set approach and its applications
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Bing Huang | Huaxiong Li | Da-kuan Wei | Yu-liang Zhuang | Huaxiong Li | Yu-liang Zhuang | Bing Huang | Da-kuan Wei
[1] H. Immaculate,et al. On Intuitionistic Fuzzy Rough Sets , 2015 .
[2] Bing Huang,et al. Using a rough set model to extract rules in dominance-based interval-valued intuitionistic fuzzy information systems , 2013, Inf. Sci..
[3] Bing Huang,et al. Dominance-based rough set model in intuitionistic fuzzy information systems , 2012, Knowl. Based Syst..
[4] Jalal Ashayeri,et al. Supply chain partners and configuration selection: An intuitionistic fuzzy Choquet integral operator based approach , 2012, Expert Syst. Appl..
[5] Zeshui Xu,et al. Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment , 2012, Inf. Fusion.
[6] Bing Huang,et al. Graded dominance interval-based fuzzy objective information systems , 2011, Knowl. Based Syst..
[7] Zhiping Chen,et al. A new multiple attribute group decision making method in intuitionistic fuzzy setting , 2011 .
[8] Ting-Yu Chen,et al. A comparative analysis of score functions for multiple criteria decision making in intuitionistic fuzzy settings , 2011, Inf. Sci..
[9] San-yang Liu,et al. A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection , 2011, Expert Syst. Appl..
[10] Duoqian Miao,et al. Rule extraction based on granulation order in interval-valued fuzzy information system , 2011, Expert Syst. Appl..
[11] Duen-Ren Liu,et al. A relational perspective of attribute reduction in rough set-based data analysis , 2011, Eur. J. Oper. Res..
[12] E. A. Abo-Tabl. A comparison of two kinds of definitions of rough approximations based on a similarity relation , 2011, Inf. Sci..
[13] Duoqian Miao,et al. Positive approximation and converse approximation in interval-valued fuzzy rough sets , 2011, Inf. Sci..
[14] MiJu-Sheng,et al. Attribute reduction based on generalized fuzzy evidence theory in fuzzy decision systems , 2011 .
[15] Ju-Sheng Mi,et al. Attribute reduction based on generalized fuzzy evidence theory in fuzzy decision systems , 2011, Fuzzy Sets Syst..
[16] Humberto Bustince,et al. On averaging operators for Atanassov's intuitionistic fuzzy sets , 2011, Inf. Sci..
[17] Yumin Chen,et al. A rough set approach to feature selection based on power set tree , 2011, Knowl. Based Syst..
[18] Zengtai Gong,et al. The further investigation of covering-based rough sets: Uncertainty characterization, similarity measure and generalized models , 2010, Inf. Sci..
[19] Gwo-Hshiung Tzeng,et al. A Dominance-based Rough Set Approach to customer behavior in the airline market , 2010, Inf. Sci..
[20] Qinghua Hu,et al. Fuzzy preference based rough sets , 2010, Inf. Sci..
[21] Yiyu Yao,et al. MGRS: A multi-granulation rough set , 2010, Inf. Sci..
[22] Chris J. Hinde,et al. A new extension of fuzzy sets using rough sets: R-fuzzy sets , 2010, Inf. Sci..
[23] Xiaohong Chen,et al. Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making , 2010, Expert Syst. Appl..
[24] Chris Cornelis,et al. Attribute selection with fuzzy decision reducts , 2010, Inf. Sci..
[25] Tzung-Pei Hong,et al. Fuzzy rough sets with hierarchical quantitative attributes , 2009, Expert Syst. Appl..
[26] Lei Zhou,et al. On characterization of intuitionistic fuzzy rough sets based on intuitionistic fuzzy implicators , 2009, Inf. Sci..
[27] Yiyu Yao,et al. Discernibility matrix simplification for constructing attribute reducts , 2009, Inf. Sci..
[28] Feifei Xu,et al. Fuzzy-rough attribute reduction via mutual information with an application to cancer classification , 2009, Comput. Math. Appl..
[29] Liang Han,et al. Control approach to rough set reduction , 2009, Comput. Math. Appl..
[30] Li Pheng Khoo,et al. A dominance-based rough set approach to Kansei Engineering in product development , 2009, Expert Syst. Appl..
[31] Wojciech Kotlowski,et al. Stochastic dominance-based rough set model for ordinal classification , 2008, Inf. Sci..
[32] Zeshui Xu,et al. Clustering algorithm for intuitionistic fuzzy sets , 2008, Inf. Sci..
[33] She-I Chang,et al. The development of audit detection risk assessment system: Using the fuzzy theory and audit risk model , 2008, Expert Syst. Appl..
[34] Daniel S. Yeung,et al. Approximations and reducts with covering generalized rough sets , 2008, Comput. Math. Appl..
[35] Philippe Fortemps,et al. Multicriteria decision support using rules that represent rough-graded preference relations , 2008, Eur. J. Oper. Res..
[36] Lei Zhou,et al. On generalized intuitionistic fuzzy rough approximation operators , 2008, Inf. Sci..
[37] Degang Chen,et al. Fuzzy rough set theory for the interval-valued fuzzy information systems , 2008, Inf. Sci..
[38] F. Chan,et al. Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .
[39] Zeshui Xu,et al. Intuitionistic preference relations and their application in group decision making , 2007, Inf. Sci..
[40] Etienne E. Kerre,et al. On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision , 2007, Inf. Sci..
[41] Zun-Quan Xia,et al. Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets , 2007, J. Comput. Syst. Sci..
[42] Ioannis K. Vlachos,et al. Intuitionistic fuzzy information - Applications to pattern recognition , 2007, Pattern Recognit. Lett..
[43] Anna Maria Radzikowska,et al. Rough Approximation Operations Based on IF Sets , 2006, ICAISC.
[44] Qiang Shen,et al. Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring , 2004, Pattern Recognit..
[45] Qiang Shen,et al. Centre for Intelligent Systems and Their Applications Fuzzy Rough Attribute Reduction with Application to Web Categorization Fuzzy Rough Attribute Reduction with Application to Web Categorization Fuzzy Sets and Systems ( ) – Fuzzy–rough Attribute Reduction with Application to Web Categorization , 2022 .
[46] Chris Cornelis,et al. Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge , 2003 .
[47] Wei-Zhi Wu,et al. Generalized fuzzy rough sets , 2003, Inf. Sci..
[48] Salvatore Greco,et al. Rough sets methodology for sorting problems in presence of multiple attributes and criteria , 2002, Eur. J. Oper. Res..
[49] Anna Maria Radzikowska,et al. A comparative study of fuzzy rough sets , 2002, Fuzzy Sets Syst..
[50] Salvatore Greco,et al. Rough sets theory for multicriteria decision analysis , 2001, Eur. J. Oper. Res..
[51] Salvatore Greco,et al. Variable Consistency Model of Dominance-Based Rough Sets Approach , 2000, Rough Sets and Current Trends in Computing.
[52] Francisco Herrera,et al. An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making , 2000, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[53] Sudarsan Nanda,et al. Fuzziness in rough sets , 2000, Fuzzy Sets Syst..
[54] Roman Słowiński,et al. Generation of reducts and rules in multi-attribute and multi-criteria classification , 2000 .
[55] Krassimir T. Atanassov,et al. Intuitionistic Fuzzy Sets - Theory and Applications , 1999, Studies in Fuzziness and Soft Computing.
[56] Salvatore Greco,et al. A New Rough Set Approach to Multicriteria and Multiattribute Classification , 1998, Rough Sets and Current Trends in Computing.
[57] Dogan Çoker,et al. Fuzzy rough sets are intuitionistic L-fuzzy sets , 1998, Fuzzy Sets Syst..
[58] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[59] Wojciech Ziarko,et al. A methodology for stock market analysis utilizing rough set theory , 1995, Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr).
[60] D. Dubois,et al. ROUGH FUZZY SETS AND FUZZY ROUGH SETS , 1990 .
[61] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[62] H. Breusers,et al. Applied Mathematical Modelling , 1976 .