Covering-based multigranulation decision-theoretic rough sets

[1]  Nouman Azam,et al.  Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets , 2014, Int. J. Approx. Reason..

[2]  Jiye Liang,et al.  Incomplete Multigranulation Rough Set , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[3]  Wei-Zhi Wu,et al.  Evidence-theory-based numerical characterization of multigranulation rough sets in incomplete information systems , 2016, Fuzzy Sets Syst..

[4]  Haiyan Zhao,et al.  Decision-theoretic rough fuzzy set model and application , 2014, Inf. Sci..

[5]  Decui Liang,et al.  Incorporating logistic regression to decision-theoretic rough sets for classifications , 2014, Int. J. Approx. Reason..

[6]  Vladik Kreinovich,et al.  Handbook of Granular Computing , 2008 .

[7]  William Zhu,et al.  Generalized rough sets based on relations , 2007, Inf. Sci..

[8]  Yiyu Yao,et al.  MGRS: A multi-granulation rough set , 2010, Inf. Sci..

[9]  Debi Prasanna Acharjya,et al.  Algebraic Properties of Rough Set on Two Universal Sets based on Multigranulation , 2014, Int. J. Rough Sets Data Anal..

[10]  Jiye Liang,et al.  International Journal of Approximate Reasoning Multigranulation Decision-theoretic Rough Sets , 2022 .

[11]  Guoyin Wang,et al.  An automatic method to determine the number of clusters using decision-theoretic rough set , 2014, Int. J. Approx. Reason..

[12]  Jerzy W. Grzymala-Busse,et al.  An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values , 2007, Trans. Rough Sets.

[13]  John N. Mordeson,et al.  Rough set theory applied to (fuzzy) ideal theory , 2001, Fuzzy Sets Syst..

[14]  Ping Zhu,et al.  Covering rough sets based on neighborhoods: An approach without using neighborhoods , 2009, Int. J. Approx. Reason..

[15]  Liwen Ma,et al.  On some types of neighborhood-related covering rough sets , 2012, Int. J. Approx. Reason..

[16]  Jiye Liang,et al.  Multigranulation rough sets: From partition to covering , 2013, Inf. Sci..

[17]  Yan Gao,et al.  On Covering Rough Sets , 2007, RSKT.

[18]  S. K. Wong,et al.  Comparison of the probabilistic approximate classification and the fuzzy set model , 1987 .

[19]  Caihui Liu,et al.  On multi-granulation covering rough sets , 2014, Int. J. Approx. Reason..

[20]  Tong-Jun Li,et al.  An axiomatic characterization of probabilistic rough sets , 2014, Int. J. Approx. Reason..

[21]  Yiyu Yao,et al.  Three-way decisions with probabilistic rough sets , 2010, Inf. Sci..

[22]  Yee Leung,et al.  Theory and applications of granular labelled partitions in multi-scale decision tables , 2011, Inf. Sci..

[23]  Bingzhen Sun,et al.  Multigranulation rough set theory over two universes , 2015, J. Intell. Fuzzy Syst..

[24]  Jing-Yu Yang,et al.  Test cost sensitive multigranulation rough set: Model and minimal cost selection , 2013, Inf. Sci..

[25]  Bing Huang,et al.  Intuitionistic fuzzy multigranulation rough sets , 2014, Inf. Sci..

[26]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..

[27]  W. Zakowski.  APPROXIMATIONS IN THE SPACE (U,π) , 1983 .

[28]  J.W.T. Lee,et al.  On the upper approximations of covering generalized rough sets , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[29]  Wojciech Ziarko,et al.  Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..

[30]  Jiye Liang,et al.  Topological approach to multigranulation rough sets , 2014, Int. J. Mach. Learn. Cybern..

[31]  Jiye Liang,et al.  An information fusion approach by combining multigranulation rough sets and evidence theory , 2015, Inf. Sci..

[32]  Zhenmin Tang,et al.  On an optimization representation of decision-theoretic rough set model , 2014, Int. J. Approx. Reason..

[33]  Yiyu Yao,et al.  Perspectives of granular computing , 2005, 2005 IEEE International Conference on Granular Computing.

[34]  Yiyu Yao,et al.  Covering based rough set approximations , 2012, Inf. Sci..

[35]  Jerzy W. Grzymala-Busse,et al.  Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction , 2004, Trans. Rough Sets.

[36]  Ying Sai,et al.  A comparison of two types of rough sets induced by coverings , 2009, Int. J. Approx. Reason..

[37]  Bing Huang,et al.  Cost-Sensitive Three-Way Decision: A Sequential Strategy , 2013, RSKT.

[38]  Chris Cornelis,et al.  Partial order relation for approximation operators in covering based rough sets , 2014, Inf. Sci..

[39]  Yanhong She,et al.  On the structure of the multigranulation rough set model , 2012, Knowl. Based Syst..

[40]  Yiyu Yao,et al.  A Decision Theoretic Framework for Approximating Concepts , 1992, Int. J. Man Mach. Stud..

[41]  Jerzy W. Grzymala-Busse,et al.  Rough Sets , 1995, Commun. ACM.

[42]  Chris Cornelis,et al.  Duality, conjugacy and adjointness of approximation operators in covering-based rough sets , 2014, Int. J. Approx. Reason..

[43]  Qiaoyan Wen,et al.  Entropy and co-entropy of a covering approximation space , 2012, Int. J. Approx. Reason..

[44]  Xiaohong Zhang,et al.  Constructive methods of rough approximation operators and multigranulation rough sets , 2016, Knowl. Based Syst..

[45]  Bing Zhou,et al.  Multi-class decision-theoretic rough sets , 2014, Int. J. Approx. Reason..

[46]  Tianrui Li,et al.  THREE-WAY GOVERNMENT DECISION ANALYSIS WITH DECISION-THEORETIC ROUGH SETS , 2012 .

[47]  Weihua Xu,et al.  Multiple granulation rough set approach to ordered information systems , 2012, Int. J. Gen. Syst..

[48]  Bao Qing Hu,et al.  Fuzzy and interval-valued fuzzy decision-theoretic rough set approaches based on fuzzy probability measure , 2015, Inf. Sci..

[49]  Yiyu Yao,et al.  Rough set models in multigranulation spaces , 2016, Inf. Sci..

[50]  Jiye Liang,et al.  International Journal of Approximate Reasoning an Efficient Rough Feature Selection Algorithm with a Multi-granulation View , 2022 .

[51]  Jerzy W. Grzymala-Busse,et al.  Three Approaches to Missing Attribute Values: A Rough Set Perspective , 2008, Data Mining: Foundations and Practice.

[52]  Hai-Long Yang,et al.  Multigranulation decision-theoretic rough sets in incomplete information systems , 2015, Int. J. Mach. Learn. Cybern..

[53]  Fei-Yue Wang,et al.  Reduction and axiomization of covering generalized rough sets , 2003, Inf. Sci..

[54]  Jianhua Dai,et al.  On the union and intersection operations of rough sets based on various approximation spaces , 2015, Inf. Sci..

[55]  Witold Pedrycz,et al.  International Journal of Approximate Reasoning Triangular Fuzzy Decision-theoretic Rough Sets , 2022 .

[56]  Urszula Wybraniec-Skardowska,et al.  Extensions and Intentions in the Ruogh Set Theory , 1998, Inf. Sci..

[57]  Yan-Lan Zhang,et al.  Relationships between covering-based rough sets and relation-based rough sets , 2013, Inf. Sci..