메뉴 건너뛰기




Volumn , Issue , 2015, Pages 387-411

Probabilistic rough sets

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; EQUIVALENCE CLASSES; PROBABILITY;

EID: 84944604642     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-662-43505-2     Document Type: Chapter
Times cited : (33)

References (75)
  • 3
    • 0040586818 scopus 로고
    • Information storage and retrieval systems: Mathematical foundations
    • W. Marek, Z. Pawlak: Information storage and retrieval systems: mathematical foundations, Theor. Comput. Sci. 1, 331-354 (1976)
    • (1976) Theor. Comput. Sci , vol.1 , pp. 331-354
    • Marek, W.1    Pawlak, Z.2
  • 4
    • 38149078799 scopus 로고    scopus 로고
    • A note on definability and approximations
    • J.F. Peters, A. Skowron, V.W. Marek, E. Orlowska, R. Słowiński, W. Ziarko (Springer, Heidelberg
    • Y.Y. Yao: A note on definability and approximations. In: Transactions on Rough Sets VII, Lecture Notes in Computer Science, Vol. 4400, ed. by J.F. Peters, A. Skowron, V.W. Marek, E. Orlowska, R. Słowiński, W. Ziarko (Springer, Heidelberg 2007) pp. 274-282
    • (2007) Transactions on Rough Sets VII, Lecture Notes in Computer Science , vol.4400 , pp. 274-282
    • Yao, Y.Y.1
  • 5
    • 0242289559 scopus 로고    scopus 로고
    • Probabilistic approaches to rough sets
    • Y.Y. Yao: Probabilistic approaches to rough sets, Expert Syst. 20, 287-297 (2003)
    • (2003) Expert Syst , vol.20 , pp. 287-297
    • Yao, Y.Y.1
  • 6
    • 52949144505 scopus 로고    scopus 로고
    • Probabilistic rough set approximations
    • Y.Y. Yao: Probabilistic rough set approximations, Int. J. Approx. Reason. 49, 255-271 (2008)
    • (2008) Int. J. Approx. Reason , vol.49 , pp. 255-271
    • Yao, Y.Y.1
  • 7
    • 0024038052 scopus 로고
    • Rough sets: Probabilistic versus deterministic approach
    • Z. Pawlak, S.K.M. Wong, W. Ziarko: Rough sets: Probabilistic versus deterministic approach, Int. J. Man-Mach. Stud. 29, 81-95 (1988)
    • (1988) Int. J. Man-Mach. Stud , vol.29 , pp. 81-95
    • Pawlak, Z.1    Wong, S.2    Ziarko, W.3
  • 8
    • 79251597574 scopus 로고
    • A probabilistic model of approximate classification and decision rules with uncertainty in inductive learning
    • Department of Computer Science, University of Regina
    • S. K. M. Wong, W. Ziarko: A probabilistic model of approximate classification and decision rules with uncertainty in inductive learning, Technical Report CS-85-23 (Department of Computer Science, University of Regina 1985)
    • (1985) Technical Report CS-85-23
    • Wong, S.1    Ziarko, W.2
  • 9
    • 11344278179 scopus 로고
    • Infer - an adaptive decision support system based on the probabilistic approximate classifications
    • S.K.M. Wong, W. Ziarko: INFER - an adaptive decision support system based on the probabilistic approximate classifications, Proc. 6th Int. Workshop on Expert Syst. Their Appl., Vol. 1 (1986) pp. 713-726
    • (1986) Proc. 6Th Int. Workshop on Expert Syst. Their Appl , vol.1 , pp. 713-726
    • Wong, S.1    Ziarko, W.2
  • 10
    • 0011157035 scopus 로고
    • Comparison of the probabilistic approximate classification and the fuzzy set model
    • S.K.M. Wong, W. Ziarko: Comparison of the probabilistic approximate classification and the fuzzy set model, Fuzzy Sets Syst. 21(3), 357-362 (1987)
    • (1987) Fuzzy Sets Syst , vol.21 , Issue.3 , pp. 357-362
    • Wong, S.1    Ziarko, W.2
  • 11
    • 0002608174 scopus 로고
    • A decision theoretic framework for approximating concepts
    • Y.Y. Yao, S.K.M. Wong: A decision theoretic framework for approximating concepts, Int. J. Man-Mach. Stud. 37, 793-809 (1992)
    • (1992) Int. J. Man-Mach. Stud , vol.37 , pp. 793-809
    • Yao, Y.Y.1    Wong, S.2
  • 12
    • 0242322855 scopus 로고
    • A decision-theoretic rough set model
    • Z.W. Ras, M. Ze-mankova, M.L. Emrich (North-Holland, New York
    • Y.Y. Yao, S.K.M. Wong, P. Lingras: A decision-theoretic rough set model. In: Methodologies for Intelligent Systems, Vol. 5, ed. by Z.W. Ras, M. Ze-mankova, M.L. Emrich (North-Holland, New York 1990) pp. 17-24
    • (1990) Methodologies for Intelligent Systems , vol.5 , pp. 17-24
    • Yao, Y.Y.1    Wong, S.2    Lingras, P.3
  • 13
    • 0000016129 scopus 로고
    • Variable precision rough sets with asymmetric bounds
    • W. Ziarko (Springer, Heidelberg
    • J.D. Katzberg, W. Ziarko: Variable precision rough sets with asymmetric bounds. In: Rough Sets, Fuzzy Sets and Knowledge Discovery, ed. by W. Ziarko (Springer, Heidelberg 1994) pp. 167-177.
    • (1994) Rough Sets, Fuzzy Sets and Knowledge Discovery , pp. 167-177
    • Katzberg, J.D.1    Ziarko, W.2
  • 14
    • 0027543613 scopus 로고
    • Variable precision rough set model
    • W. Ziarko: Variable precision rough set model, J. Comput. Syst. Sci. 46, 39-59 (1993)
    • (1993) J. Comput. Syst. Sci , vol.46 , pp. 39-59
    • Ziarko, W.1
  • 15
  • 16
    • 8344226140 scopus 로고    scopus 로고
    • Variable precision bayesian rough set model, rough sets, fuzzy sets, data minging and granular comput. (rsfgrc 2013)
    • (Lect. Notes Artif. Intel.), ed. by G.Y. Wang, Q. Liu, Y.Y. Yao, A. Skowron (Springer, Heidelberg
    • D. Ślęzak, W. Ziarko: Variable precision Bayesian rough set model, Rough Sets, Fuzzy Sets, Data Minging and Granular Comput. (RSFGrC 2013), Lect. Notes Comput. Sci. (Lect. Notes Artif. Intel.), Vol. 2639, ed. by G.Y. Wang, Q. Liu, Y.Y. Yao, A. Skowron (Springer, Heidelberg 2003) pp. 312-315
    • (2003) Lect. Notes Comput. Sci , vol.2639 , pp. 312-315
    • Ślęzak, D.1    Ziarko, W.2
  • 17
    • 19044375446 scopus 로고    scopus 로고
    • The investigation of the bayesian rough set model
    • D. Ślęzak, W. Ziarko: The investigation of the Bayesian rough set model, Int. J. Approx. Reason. 40, 81-91 (2005)
    • (2005) Int. J. Approx. Reason , vol.40 , pp. 81-91
    • Ślęzak, D.1    Ziarko, W.2
  • 19
    • 33645970727 scopus 로고    scopus 로고
    • Rough membership and bayesian confirmation measures for parameterized rough sets
    • D. Ślęzak, G.Y. Wang, M. Szczuka, I. Duntsch, Y.Y. Yao (Springer, Heidelberg
    • S. Greco, B. Matarazzo, R. Słowiński: Rough membership and Bayesian confirmation measures for parameterized rough sets. In: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Lecture Notes in Computer Science, Vol. 3641, ed. by D. Ślęzak, G.Y. Wang, M. Szczuka, I. Duntsch, Y.Y. Yao (Springer, Heidelberg 2005) pp. 314-324
    • (2005) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Lecture Notes in Computer Science , vol.3641 , pp. 314-324
    • Greco, S.1    Matarazzo, B.2    Słowiński, R.3
  • 20
    • 52949127977 scopus 로고    scopus 로고
    • Parameter-ized rough set model using rough membership and bayesian confirmation measures
    • S. Greco, B. Matarazzo, R. Słowiński: Parameter-ized rough set model using rough membership and Bayesian confirmation measures, Int. J. Approx. Reason. 49, 285-300 (2008)
    • (2008) Int. J. Approx. Reason , vol.49 , pp. 285-300
    • Greco, S.1    Matarazzo, B.2    Słowiński, R.3
  • 21
    • 84888040083 scopus 로고    scopus 로고
    • Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
    • N. Azam, J.T. Yao: Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets, Int. J. Approx. Reason. 55, 142-155 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 142-155
    • Azam, N.1    Yao, J.T.2
  • 22
    • 79957592434 scopus 로고    scopus 로고
    • Game-theoretic rough sets
    • J.P. Herbert, J.T. Yao: Game-theoretic rough sets, Fundam. Inf. 108, 267-286 (2011)
    • (2011) Fundam. Inf , vol.108 , pp. 267-286
    • Herbert, J.P.1    Yao, J.T.2
  • 25
    • 49849088318 scopus 로고    scopus 로고
    • Stochastic dominance-based rough set model for ordinal classification
    • W. Kotłowski, K. Dembczyński, S. Greco, R. Słowiński,: Stochastic dominance-based rough set model for ordinal classification, Inf. Sci. 178, 4019-4037 (2008)
    • (2008) Inf. Sci , vol.178 , pp. 4019-4037
    • Kotłowski, W.1    Dembczyński, K.2    Greco, S.3    Słowiński, R.4
  • 26
    • 84903763506 scopus 로고    scopus 로고
    • Feature selection based on confirmation-theoretic rough sets
    • C. Cor-nelis, M. Kryszkiewicz, D. Ślęzak, E.M. Ruiz, R. Bello, L. Shang (Springer, Heidelberg
    • B. Zhou, Y.Y. Yao: Feature selection based on confirmation-theoretic rough sets. In: Rough Sets and Current Trends in Computing, Lecture Notes in Computer Science, Vol. 8536, ed. by C. Cor-nelis, M. Kryszkiewicz, D. Ślęzak, E.M. Ruiz, R. Bello, L. Shang (Springer, Heidelberg 2014) pp. 181-188
    • (2014) Rough Sets and Current Trends in Computing, Lecture Notes in Computer Science , vol.8536 , pp. 181-188
    • Zhou, B.1    Yao, Y.Y.2
  • 27
    • 84865040948 scopus 로고    scopus 로고
    • An information-theoretic interpretation of thresholds in probabilistic rough sets
    • T.R. Li, H.S. Nguyen, G.Y. Wang, J. Grzymala-Busse, R. Jan-icki (Springer, Heidelberg
    • X.F. Deng, Y.Y. Yao: An information-theoretic interpretation of thresholds in probabilistic rough sets. In: Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, Vol. 7414, ed. by T.R. Li, H.S. Nguyen, G.Y. Wang, J. Grzymala-Busse, R. Jan-icki (Springer, Heidelberg 2012) pp. 369-378
    • (2012) Rough Sets and Knowledge Technology, Lecture Notes in Computer Science , vol.7414 , pp. 369-378
    • Deng, X.F.1    Yao, Y.Y.2
  • 28
    • 84887484728 scopus 로고    scopus 로고
    • Comparison of two models of probabilistic rough sets
    • P. Lingras, M. Wolski, C. Cor-nelis, S. Mitra, P. Wasilewski (Springer, Heidelberg
    • B. Zhou, Y.Y. Yao: Comparison of two models of probabilistic rough sets. In: Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, Vol. 8171, ed. by P. Lingras, M. Wolski, C. Cor-nelis, S. Mitra, P. Wasilewski (Springer, Heidelberg 2013) pp. 121-132
    • (2013) Rough Sets and Knowledge Technology, Lecture Notes in Computer Science , vol.8171 , pp. 121-132
    • Zhou, B.1    Yao, Y.Y.2
  • 29
    • 80054053366 scopus 로고    scopus 로고
    • Generalized parameterized approximations
    • J.T. Yao, S. Ramanna, G.Y. Wang, Z. Suraj (Springer, Heidelberg
    • J.W. Grzymala-Busse: Generalized parameterized approximations. In: Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, Vol. 6954, ed. by J.T. Yao, S. Ramanna, G.Y. Wang, Z. Suraj (Springer, Heidelberg 2011) pp. 36-145
    • (2011) Rough Sets and Knowledge Technology, Lecture Notes in Computer Science , vol.6954 , pp. 36-145
    • Grzymala-Busse, J.W.1
  • 30
    • 84873331702 scopus 로고    scopus 로고
    • Generalized probabilistic approximations
    • J.F. Peters, A. Skowron, S. Ramanna, Z. Suraj, X. Wang (Springer, Heidelberg
    • J.W. Grzymala-Busse: Generalized probabilistic approximations. In: Transactions on Rough Sets, Lecture Notes in Computer Science, Vol. 7736, ed. by J.F. Peters, A. Skowron, S. Ramanna, Z. Suraj, X. Wang (Springer, Heidelberg 2013) pp. 1-16
    • (2013) Transactions on Rough Sets, Lecture Notes in Computer Science , vol.7736 , pp. 1-16
    • Grzymala-Busse, J.W.1
  • 31
    • 0035254283 scopus 로고    scopus 로고
    • Rough sets theory for multicriteria decision analysis
    • S. Greco, B. Matarazzo, R. Słowiński: Rough sets theory for multicriteria decision analysis, Eur. J. Oper. Res. 129, 1-47 (2001)
    • (2001) Eur. J. Oper. Res , vol.129 , pp. 1-47
    • Greco, S.1    Matarazzo, B.2    Słowiński, R.3
  • 34
    • 84866399957 scopus 로고    scopus 로고
    • Rough set and rule-based multicriteria decision aiding
    • R. Słowiński, S. Greco, B. Matarazzo: Rough set and rule-based multicriteria decision aiding, Pesqui. Oper. 32, 213-269 (2012)
    • (2012) Pesqui. Oper , vol.32 , pp. 213-269
    • Słowiński, R.1    Greco, S.2    Matarazzo, B.3
  • 35
    • 0032204205 scopus 로고    scopus 로고
    • Relational interpretations of neighbor-hood operators and rough set approximation operators
    • Y.Y. Yao: Relational interpretations of neighbor-hood operators and rough set approximation operators, Inf. Sci. 111, 239-259 (1998)
    • (1998) Inf. Sci , vol.111 , pp. 239-259
    • Yao, Y.Y.1
  • 36
    • 0035155557 scopus 로고    scopus 로고
    • Information granulation and rough set approximation
    • Y.Y. Yao: Information granulation and rough set approximation, Int. J. Intell. Syst. 16, 87-104 (2001)
    • (2001) Int. J. Intell. Syst , vol.16 , pp. 87-104
    • Yao, Y.Y.1
  • 37
    • 26944433797 scopus 로고    scopus 로고
    • Subsystem based generalizations of rough set approximations
    • M.S. Hacid, N.V. Murray, Z.W. Ra?, S. Tsumoto (Springer, Heidelberg
    • Y.Y. Yao, Y.H. Chen: Subsystem based generalizations of rough set approximations. In: Foundations of Intelligent Systems, Lecture Notes in Computer Science, Vol. 3488, ed. by M.S. Hacid, N.V. Murray, Z.W. Ra?, S. Tsumoto (Springer, Heidelberg 2005) pp. 210-218
    • (2005) Foundations of Intelligent Systems, Lecture Notes in Computer Science , vol.3488 , pp. 210-218
    • Yao, Y.Y.1    Chen, Y.H.2
  • 38
    • 84896389564 scopus 로고    scopus 로고
    • Quantitative rough sets based on subsethood measures, inf
    • Y.Y. Yao, X.F. Deng: Quantitative rough sets based on subsethood measures, Inf. Sci. 267, 702-715 (2014)
    • (2014) Sci , vol.267 , pp. 702-715
    • Yao, Y.Y.1    Deng, X.F.2
  • 40
    • 84888044158 scopus 로고    scopus 로고
    • An automatic method to determine the number of clusters using decision-theoretic rough set
    • H. Yu, G.Z. Liu, Y.G. Wang: An automatic method to determine the number of clusters using decision-theoretic rough set, Int. J. Approx. Reason. 55, 101-115 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 101-115
    • Yu, H.1    Liu, G.Z.2    Wang, Y.G.3
  • 41
    • 84888025945 scopus 로고    scopus 로고
    • An extension to rough c-means clustering based on decision-theoretic rough sets model
    • F. Li, M. Ye, D.X. Chen: An extension to rough c-means clustering based on decision-theoretic rough sets model, Int. J. Approx. Reason. 55, 116-129 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 116-129
    • Li, F.1    Ye, M.2    Chen, D.X.3
  • 42
    • 84888028049 scopus 로고    scopus 로고
    • An axiomatic characterization of probabilistic rough sets
    • J. Li, T.P.X. Yang: An axiomatic characterization of probabilistic rough sets, Int. J. Approx. Reason. 55, 130-141 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 130-141
    • Li, J.1    Yang, T.2
  • 43
    • 84888019221 scopus 로고    scopus 로고
    • On an optimization representation of decision-theoretic rough set model
    • X.Y. Jia, Z.M. Tang, W.H. Liao, L. Shang: On an optimization representation of decision-theoretic rough set model, Int. J. Approx. Reason. 55, 156-166 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 156-166
    • Jia, X.Y.1    Tang, Z.M.2    Liao, W.H.3    Shang, L.4
  • 44
    • 84888054977 scopus 로고    scopus 로고
    • Feature selection with test cost constraint
    • F. Min, Q.H. Hu, W. Zhu: Feature selection with test cost constraint, Int. J. Approx. Reason. 55, 167-179 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 167-179
    • Min, F.1    Hu, Q.H.2    Zhu, W.3
  • 46
    • 84888023478 scopus 로고    scopus 로고
    • Incorporating logistic regression to decision-theoretic rough sets for classifications
    • D. Liu, T.R. Li, D.C. Liang: Incorporating logistic regression to decision-theoretic rough sets for classifications, Int. J. Approx. Reason. 55, 197-210 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 197-210
    • Liu, D.1    Li, T.R.2    Liang, D.C.3
  • 47
    • 84888016689 scopus 로고    scopus 로고
    • Multi-class decision-theoretic rough sets
    • B. Zhou: Multi-class decision-theoretic rough sets, Int. J. Approx. Reason. 55, 211-224 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 211-224
    • Zhou, B.1
  • 49
    • 84888074678 scopus 로고    scopus 로고
    • Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations
    • P. Lingras, M. Chen, Q.D. Miao: Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations, Int. J. Approx. Reason. 55, 238-258 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 238-258
    • Lingras, P.1    Chen, M.2    Miao, Q.D.3
  • 50
    • 84888025970 scopus 로고    scopus 로고
    • Rule acquisition and complexity reduction in formal decision contexts
    • W.M. Shao, Y. Leung, Z.W. Wu: Rule acquisition and complexity reduction in formal decision contexts, Int. J. Approx. Reason. 55, 259-274 (2014)
    • (2014) Int. J. Approx. Reason , vol.55 , pp. 259-274
    • Shao, W.M.1    Leung, Y.2    Wu, Z.W.3
  • 51
  • 52
    • 84879605790 scopus 로고    scopus 로고
    • Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing
    • X.Y. Zhang, D.Q. Miao: Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing, Int. J. Approx. Reason. 54, 1130-1148 (2013)
    • (2013) Int. J. Approx. Reason , vol.54 , pp. 1130-1148
    • Zhang, X.Y.1    Miao, D.Q.2
  • 53
    • 52949108393 scopus 로고    scopus 로고
    • Probabilistic approach to rough sets
    • W. Ziarko: Probabilistic approach to rough sets, Int. J. Approx. Reason. 49, 272-284 (2008)
    • (2008) Int. J. Approx. Reason , vol.49 , pp. 272-284
    • Ziarko, W.1
  • 55
    • 0442265974 scopus 로고    scopus 로고
    • Bayesian confirmation
    • M. Galavotti, A. Pagnini (Kluwer, Dordrecht
    • R. Festa: Bayesian confirmation. In: Experience, Reality, and Scientific Explanation, ed. by M. Galavotti, A. Pagnini (Kluwer, Dordrecht 1999) pp. 55-87
    • (1999) In: Experience, Reality, and Scientific Explanation , pp. 55-87
    • Festa, R.1
  • 56
    • 2942731448 scopus 로고    scopus 로고
    • Can bayesian confirmation measures be useful for rough set decision rules?
    • S. Greco, Z. Pawlak, R. Słowiński: Can Bayesian confirmation measures be useful for rough set decision rules?, Eng. Appl. Artif. Intell. 17, 345-361 (2004)
    • (2004) Eng. Appl. Artif. Intell , vol.17 , pp. 345-361
    • Greco, S.1    Pawlak, Z.2    Słowiński, R.3
  • 57
    • 84864723140 scopus 로고    scopus 로고
    • Properties of rule interestingness measures and alternative approaches to normalization of measures
    • S. Greco, R. Słowiński, I. Szczęch: Properties of rule interestingness measures and alternative approaches to normalization of measures, Inf. Sci. 216, 1-16 (2012)
    • (2012) Inf. Sci , vol.216 , pp. 1-16
    • Greco, S.1    Słowiński, R.2    Szczęch, I.3
  • 58
    • 79957594930 scopus 로고    scopus 로고
    • Two semantic issues in a probabilistic rough set model, fundam
    • Y.Y. Yao: Two semantic issues in a probabilistic rough set model, Fundam. Inf. 108, 249-265 (2011)
    • (2011) Inf , vol.108 , pp. 249-265
    • Yao, Y.Y.1
  • 59
    • 78349275311 scopus 로고    scopus 로고
    • Naive bayesian rough sets
    • J. Yu, S. Greco, P. Lingras, G.Y. Wang, A. Skowron (Springer, Heidelberg
    • Y.Y. Yao, B. Zhou: Naive Bayesian rough sets. In: Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, Vol. 6401, ed. by J. Yu, S. Greco, P. Lingras, G.Y. Wang, A. Skowron (Springer, Heidelberg 2010) pp. 719-726
    • (2010) Rough Sets and Knowledge Technology, Lecture Notes in Computer Science , vol.6401 , pp. 719-726
    • Yao, Y.Y.1    Zhou, B.2
  • 61
    • 78851468804 scopus 로고    scopus 로고
    • Risk decision making based on decision-theoretic rough set: A three-way view decision model
    • H.X. Li, X.Z. Zhou: Risk decision making based on decision-theoretic rough set: a three-way view decision model, Int. J. Comput. Intell. Syst. 4, 1-11 (2011)
    • (2011) Int. J. Comput. Intell. Syst , vol.4 , pp. 1-11
    • Li, H.X.1    Zhou, X.Z.2
  • 62
    • 79957597759 scopus 로고    scopus 로고
    • Probabilistic model criteria with decision-theoretic rough sets
    • D. Liu, T.R. Li, D. Ruan: Probabilistic model criteria with decision-theoretic rough sets, Inf. Sci. 181, 3709-3722 (2011)
    • (2011) Inf. Sci , vol.181 , pp. 3709-3722
    • Liu, D.1    Li, T.R.2    Ruan, D.3
  • 63
    • 38049113254 scopus 로고    scopus 로고
    • Statistical model for rough set approach to multicriteria classification
    • J.N. Kok, J. Koronacki, R. de Lopez Mantaras, S. Matwin, D. Mladenic, A. Skowron (Springer, Heidelberg
    • K. Dembczyński, S. Greco, W. Kotłowski, R. Słowiński: Statistical model for rough set approach to multicriteria classification. In: Knowledge Dis-coveery in Databases, Lecture Notes in Computer Science, Vol. 4702, ed. by J.N. Kok, J. Koronacki, R. de Lopez Mantaras, S. Matwin, D. Mladenic, A. Skowron (Springer, Heidelberg 2007) pp. 164-175
    • (2007) Knowledge Dis-Coveery in Databases, Lecture Notes in Computer Science , vol.4702 , pp. 164-175
    • Dembczyński, K.1    Greco, S.2    Kotłowski, W.3    Słowiński, R.4
  • 64
    • 85006313442 scopus 로고    scopus 로고
    • An outline of a theory of three-way decisions
    • J.T. Yao, Y. Yang, R, S. Greco, H.X. Li, S. Mitra, L. Polkowski (Springer, Heidelberg
    • Y.Y. Yao: An outline of a theory of three-way decisions. In: Rough Sets and Current Trends in Computing, Lecture Notes in Computer Science, Vol. 7413, ed. by J.T. Yao, Y. Yang, R. Słowiński, S. Greco, H.X. Li, S. Mitra, L. Polkowski (Springer, Heidelberg 2012) pp. 1-17
    • (2012) Rough Sets and Current Trends in Computing, Lecture Notes in Computer Science , vol.7413 , pp. 1-17
    • Yao, Y.Y.1
  • 65
    • 69049088925 scopus 로고    scopus 로고
    • Three-way decision: An interpretation of rules in rough set theory
    • P. Wen, Y.F. Li, L. Polkowski, Y.Y. Yao, S. Tsumoto, G.Y. Wang (Springer, Heidelberg
    • Y.Y. Yao: Three-way decision: an interpretation of rules in rough set theory. In: Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, Vol. 5589, ed. by P. Wen, Y.F. Li, L. Polkowski, Y.Y. Yao, S. Tsumoto, G.Y. Wang (Springer, Heidelberg 2009) pp. 642-649
    • (2009) Rough Sets and Knowledge Technology, Lecture Notes in Computer Science , vol.5589 , pp. 642-649
    • Yao, Y.Y.1
  • 66
    • 70449130467 scopus 로고    scopus 로고
    • Three-way decisions with probabilistic rough sets
    • Y.Y. Yao: Three-way decisions with probabilistic rough sets, Inf. Sci. 180, 341-353 (2010)
    • (2010) Inf. Sci , vol.180 , pp. 341-353
    • Yao, Y.Y.1
  • 67
    • 79251593234 scopus 로고    scopus 로고
    • The superiority of three-way decisions in probabilistic rough set models
    • Y.Y. Yao: The superiority of three-way decisions in probabilistic rough set models, Inf. Sci. 181, 1080-1096 (2011)
    • (2011) Inf. Sci , vol.181 , pp. 1080-1096
    • Yao, Y.Y.1
  • 73
    • 0034242099 scopus 로고    scopus 로고
    • Extension of the rough set approach to multicriteria decision support
    • S. Greco, B. Matarazzo, R. Słowiński: Extension of the rough set approach to multicriteria decision support, INFOR 38, 161-196 (2000)
    • (2000) INFOR , vol.38 , pp. 161-196
    • Greco, S.1    Matarazzo, B.2    Słowiński, R.3
  • 74
    • 0037117684 scopus 로고    scopus 로고
    • Rough sets methodology for sorting problems in presence of multiple attributes and criteria
    • S. Greco, B. Matarazzo, R. Słowiński: Rough sets methodology for sorting problems in presence of multiple attributes and criteria, Eur. J. Oper. Res. 138, 247-259 (2002)
    • (2002) Eur. J. Oper. Res , vol.138 , pp. 247-259
    • Greco, S.1    Matarazzo, B.2    Słowiński, R.3
  • 75
    • 37249091223 scopus 로고    scopus 로고
    • Bayesian decision theory for dominance-based rough set approach
    • J.T. Yao, P. Lingras, W.Z. Wu, M. Szczuka, N. Cercone (Springer, Heidelberg
    • S. Greco, R. Słowiński, Y. Yao: Bayesian decision theory for dominance-based rough set approach. In: Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, Vol. 4481, ed. by J.T. Yao, P. Lingras, W.Z. Wu, M. Szczuka, N. Cercone (Springer, Heidelberg 2007) pp. 134-141
    • (2007) Rough Sets and Knowledge Technology, Lecture Notes in Computer Science , vol.4481 , pp. 134-141
    • Greco, S.1    Słowiński, R.2    Yao, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.