Some Mathematical Structures of Generalized Rough Sets in Infinite Universes of Discourse
暂无分享,去创建一个
[1] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[2] Guoyin Wang,et al. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing , 2013, Lecture Notes in Computer Science.
[3] Tsau Young Lin,et al. Rough Approximate Operators: Axiomatic Rough Set Theory , 1993, RSKD.
[4] Michiro Kondo,et al. On the structure of generalized rough sets , 2006, Inf. Sci..
[5] Yee Leung,et al. Connections between rough set theory and Dempster-Shafer theory of evidence , 2002, Int. J. Gen. Syst..
[6] Yiyu Yao,et al. Two views of the theory of rough sets in finite universes , 1996, Int. J. Approx. Reason..
[7] Wei-Zhi Wu,et al. Neighborhood operator systems and approximations , 2002, Inf. Sci..
[8] Andrzej Skowron,et al. Transactions on Rough Sets III , 2005, Trans. Rough Sets.
[9] L. Polkowski. Rough Sets: Mathematical Foundations , 2013 .
[10] Bernard De Baets,et al. Fuzzy Sets and Systems — IFSA 2003 , 2003, Lecture Notes in Computer Science.
[11] Yiyu Yao,et al. Generalization of Rough Sets using Modal Logics , 1996, Intell. Autom. Soft Comput..
[12] Yiyu Yao,et al. Interpretation of Belief Functions in The Theory of Rough Sets , 1998, Inf. Sci..
[13] Andrzej Skowron,et al. Rough-Fuzzy Hybridization: A New Trend in Decision Making , 1999 .
[14] Zdzislaw Pawlak,et al. Information systems theoretical foundations , 1981, Inf. Syst..
[15] Marek Chuchro,et al. On Rough Sets in Topological Boolean Algebras , 1993, RSKD.
[16] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[17] Lech Polkowski,et al. Rough Sets in Knowledge Discovery 2 , 1998 .
[18] Wei-Zhi Wu,et al. An Interpretation of Belief Functions on Infinite Universes in the Theory of Rough Sets , 2008, RSCTC.
[19] S. Tsumoto,et al. Rough Set Theory and Granular Computing , 2003 .
[20] 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..
[21] L. Polkowski,et al. Concerning mathematical morphology of rough sets , 1994 .
[22] U. Wybraniec-Skardowska. On a generalization of approximation space , 1989 .
[23] Andrzej Skowron,et al. Approximation Spaces and Information Granulation , 2004, Trans. Rough Sets.
[24] G. Choquet. Theory of capacities , 1954 .
[25] A. Wiweger. On topological rough sets , 1989 .
[26] A. Skowron,et al. Methodology and applications , 1998 .
[27] Zheng Pei,et al. Generalized rough sets based on reflexive and transitive relations , 2008, Inf. Sci..
[28] Yiyu Yao,et al. Constructive and Algebraic Methods of the Theory of Rough Sets , 1998, Inf. Sci..
[29] William Zhu,et al. Topological approaches to covering rough sets , 2007, Inf. Sci..
[30] Andrzej Skowron,et al. From the Rough Set Theory to the Evidence Theory , 1991 .
[31] Wei-Zhi Wu,et al. Attribute reduction based on evidence theory in incomplete decision systems , 2008, Inf. Sci..
[32] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[33] Dexue Zhang,et al. Fuzzy preorder and fuzzy topology , 2006, Fuzzy Sets Syst..
[34] Y. Yao. Information granulation and rough set approximation , 2001 .
[35] J. Kortelainen. On relationship between modified sets, topological spaces and rough sets , 1994 .
[36] J. Kacprzyk,et al. Advances in the Dempster-Shafer theory of evidence , 1994 .
[37] Helmut Thiele,et al. On axiomatic characterisations of crisp approximation operators , 2000, Inf. Sci..
[38] C. J. V. Rijsbergen,et al. Rough Sets, Fuzzy Sets and Knowledge Discovery , 1994, Workshops in Computing.
[39] Zhudeng Wang,et al. Note on "Generalized rough sets based on reflexive and transitive relations" , 2009, Inf. Sci..
[40] Lei Zhou,et al. On intuitionistic fuzzy rough sets and their topological structures , 2009, Int. J. Gen. Syst..
[41] Stephen D. Comer,et al. An algebraic approach to the approximation of information , 1991, Fundamenta Informaticae.
[42] Andrzej Skowron,et al. Rough Sets and Information Granulation , 2003, IFSA.
[43] Ronald Fagin,et al. Uncertainty, belief, and probability 1 , 1991, IJCAI.
[44] W. Zakowski. ON A CONCEPT OF ROUGH SEIS , 1982 .
[45] Yiyu Yao,et al. Relational Interpretations of Neigborhood Operators and Rough Set Approximation Operators , 1998, Inf. Sci..
[46] L. Zadeh,et al. Data mining, rough sets and granular computing , 2002 .
[47] Michiro Kondo,et al. Algebraic Approach to Generalized Rough Sets , 2005, RSFDGrC.
[48] A. Wasilewska,et al. Conditional knowledge representation systems -model for an implementation , 1989 .
[49] Vijay K. Rohatgi,et al. Advances in Fuzzy Set Theory and Applications , 1980 .
[50] Zongben Xu,et al. Rough Set Models on Two universes , 2004, Int. J. Gen. Syst..
[51] Lotfi A. Zadeh,et al. Fuzzy sets and information granularity , 1996 .
[52] Daniel Vanderpooten,et al. A Generalized Definition of Rough Approximations Based on Similarity , 2000, IEEE Trans. Knowl. Data Eng..
[53] Sadaaki Miyamoto,et al. Rough Sets and Current Trends in Computing , 2012, Lecture Notes in Computer Science.
[54] Andrzej Skowron,et al. The rough sets theory and evidence theory , 1990 .
[55] Dimiter Vakarelov,et al. A model logic for similarity relations in pawlak knowledge representation systems , 1991, Fundam. Informaticae.
[56] G. Birkhoff. Rings of sets , 1937 .
[57] Wei-Zhi Wu,et al. Knowledge reduction in random information systems via Dempster-Shafer theory of evidence , 2005, Inf. Sci..
[58] Arthur P. Dempster,et al. Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[59] Andrzej Skowron,et al. Information granules: Towards foundations of granular computing , 2001 .
[60] Andrzej Skowron,et al. A rough set approach to measuring information granules , 2002, Proceedings 26th Annual International Computer Software and Applications.
[61] Tong-Jun Li,et al. The minimization of axiom sets characterizing generalized approximation operators , 2006, Inf. Sci..