메뉴 건너뛰기




Volumn 77, Issue , 2016, Pages 38-54

The uncertainty of probabilistic rough sets in multi-granulation spaces

Author keywords

Multi granulation spaces; Probabilistic rough sets; Rough sets; Threshold; Uncertainty measure

Indexed keywords

APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE; FAULT TOLERANCE; GRANULATION; UNCERTAINTY ANALYSIS;

EID: 84973667673     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2016.06.001     Document Type: Article
Times cited : (40)

References (73)
  • 1
    • 0024038052 scopus 로고
    • Rough sets: Probabilistic versus deterministic approach
    • Z. Pawlak, S.K.M. Wong, and W. Ziarko Rough sets: probabilistic versus deterministic approach Int. J. Man-Mach. Stud. 29 1988 81 95
    • (1988) Int. J. Man-Mach. Stud. , vol.29 , pp. 81-95
    • Pawlak, Z.1    Wong, S.K.M.2    Ziarko, W.3
  • 2
    • 0027543613 scopus 로고
    • Variable precision rough sets model
    • W. Ziarko Variable precision rough sets model J. Comput. Syst. Sci. 46 1993 39 59
    • (1993) J. Comput. Syst. Sci. , vol.46 , pp. 39-59
    • Ziarko, W.1
  • 3
    • 52949144505 scopus 로고    scopus 로고
    • Probabilistic rough set approximations
    • Y.Y. Yao Probabilistic rough set approximations Int. J. Approx. Reason. 49 2008 255 271
    • (2008) Int. J. Approx. Reason. , vol.49 , pp. 255-271
    • Yao, Y.Y.1
  • 4
    • 0242289559 scopus 로고    scopus 로고
    • Probabilistic approaches to rough sets
    • Y.Y. Yao Probabilistic approaches to rough sets Expert Syst. 20 2003 287 297
    • (2003) Expert Syst. , vol.20 , pp. 287-297
    • Yao, Y.Y.1
  • 5
    • 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 3 2010 341 353
    • (2010) Inf. Sci. , vol.180 , Issue.3 , pp. 341-353
    • Yao, Y.Y.1
  • 6
    • 52949108393 scopus 로고    scopus 로고
    • Probabilistic approach to rough sets
    • W. Ziarko Probabilistic approach to rough sets Int. J. Approx. Reason. 49 2008 272 284
    • (2008) Int. J. Approx. Reason. , vol.49 , pp. 272-284
    • Ziarko, W.1
  • 7
    • 0035414934 scopus 로고    scopus 로고
    • Probabilistic decision tables in the variable precision rough set model
    • W. Ziarko Probabilistic decision tables in the variable precision rough set model Comput. Intell. 17 3 2001 593 603
    • (2001) Comput. Intell. , vol.17 , Issue.3 , pp. 593-603
    • Ziarko, W.1
  • 8
    • 52949092454 scopus 로고    scopus 로고
    • Probabilistic rough sets: Approximations, decision-makings, and applications
    • J.T. Yao, Y.Y. Yao, and W. Ziarko Probabilistic rough sets: approximations, decision-makings, and applications Int. J. Approx. Reason. 49 2 2008 253 254
    • (2008) Int. J. Approx. Reason. , vol.49 , Issue.2 , pp. 253-254
    • Yao, J.T.1    Yao, Y.Y.2    Ziarko, W.3
  • 10
    • 69049088925 scopus 로고    scopus 로고
    • Three-way decision: An interpretation of rules in rough set theory
    • Lecture Notes in Computer Science
    • Y.Y. Yao Three-way decision: an interpretation of rules in rough set theory Rough Sets and Knowledge Technology Lecture Notes in Computer Science vol. 5589 2009 642 649
    • (2009) Rough Sets and Knowledge Technology , vol.5589 , pp. 642-649
    • Yao, Y.Y.1
  • 11
    • 85006313442 scopus 로고    scopus 로고
    • An outline of a theory of three-way decisions
    • Lecture Notes in Computer Science
    • Y.Y. Yao An outline of a theory of three-way decisions Rough Sets and Current Trends in Computing Lecture Notes in Computer Science vol. 7413 2012 1 17
    • (2012) Rough Sets and Current Trends in Computing , vol.7413 , pp. 1-17
    • Yao, Y.Y.1
  • 12
    • 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 6 2011 1080 1096
    • (2011) Inf. Sci. , vol.181 , Issue.6 , pp. 1080-1096
    • Yao, Y.Y.1
  • 13
    • 84887413799 scopus 로고    scopus 로고
    • Cost-sensitive three-way decision: A sequential strategy
    • Lecture Notes in Computer Science
    • H.X. Li, X.Z. Zhou, and B. Huang Cost-sensitive three-way decision: a sequential strategy Rough Sets and Knowledge Technology Lecture Notes in Computer Science vol. 8171 2013 325 337
    • (2013) Rough Sets and Knowledge Technology , vol.8171 , pp. 325-337
    • Li, H.X.1    Zhou, X.Z.2    Huang, B.3
  • 14
    • 78851472100 scopus 로고    scopus 로고
    • Three-way investment decisions with decision-theoretic rough sets
    • D. Liu, Y.Y. Yao, and T.R. Li Three-way investment decisions with decision-theoretic rough sets Int. J. Comput. Intell. Syst. 4 1 2011 66 74
    • (2011) Int. J. Comput. Intell. Syst. , vol.4 , Issue.1 , pp. 66-74
    • Liu, D.1    Yao, Y.Y.2    Li, T.R.3
  • 15
    • 0002608174 scopus 로고
    • A decision theoretic framework for approximate concepts
    • Y.Y. Yao, and S.K.M. Wong A decision theoretic framework for approximate concepts Int. J. Man-Mach. Stud. 37 6 1992 793 809
    • (1992) Int. J. Man-Mach. Stud. , vol.37 , Issue.6 , pp. 793-809
    • Yao, Y.Y.1    Wong, S.K.M.2
  • 16
    • 38049013199 scopus 로고    scopus 로고
    • Decision-theoretic rough set models
    • Lecture Notes in Computer Science, 17817
    • Y.Y. Yao Decision-theoretic rough set models Rough Sets and Knowledge Technology Lecture Notes in Computer Science vol. 178(17) 2007 1 12
    • (2007) Rough Sets and Knowledge Technology , pp. 1-12
    • Yao, Y.Y.1
  • 17
    • 84888044158 scopus 로고    scopus 로고
    • An automatic method to determine the number of clusters using decision-theoretic rough set
    • H. Yu, Z.G. Liu, and G.Y. Wang An automatic method to determine the number of clusters using decision-theoretic rough set Int. J. Approx. Reason. 55 1 2014 101 115
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.1 , pp. 101-115
    • Yu, H.1    Liu, Z.G.2    Wang, G.Y.3
  • 18
    • 84888019221 scopus 로고    scopus 로고
    • On an optimization representation of decision-theoretic rough set model
    • X.Y. Jia, Z.M. Tang, W.H. Liao, and L. Shang On an optimization representation of decision-theoretic rough set model Int. J. Approx. Reason. 55 1 2014 156 166
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.1 , pp. 156-166
    • Jia, X.Y.1    Tang, Z.M.2    Liao, W.H.3    Shang, L.4
  • 19
    • 84888023478 scopus 로고    scopus 로고
    • Incorporating logistic regression to decision-theoretic rough sets for classifications
    • D. Liu, T.R. Li, and D.C. Liang Incorporating logistic regression to decision-theoretic rough sets for classifications Int. J. Approx. Reason. 55 1 2014 197 210
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.1 , pp. 197-210
    • Liu, D.1    Li, T.R.2    Liang, D.C.3
  • 20
    • 84888016689 scopus 로고    scopus 로고
    • Multi-class decision-theoretic rough sets
    • B. Zhou Multi-class decision-theoretic rough sets Int. J. Approx. Reason. 55 1 2014 211 224
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.1 , pp. 211-224
    • Zhou, B.1
  • 21
    • 79957594930 scopus 로고    scopus 로고
    • Two semantic issues in a probabilistic rough set model
    • Y.Y. Yao Two semantic issues in a probabilistic rough set model Fundam. Inform. 108 3-4 2011 249 265
    • (2011) Fundam. Inform. , vol.108 , Issue.3-4 , pp. 249-265
    • Yao, Y.Y.1
  • 22
    • 0031996836 scopus 로고    scopus 로고
    • Shadowed sets: Representing and processing fuzzy sets
    • W. Pedrycz Shadowed sets: representing and processing fuzzy sets IEEE Trans. Syst. Man Cybern., Part B, Cybern. 28 1 1998 103 109
    • (1998) IEEE Trans. Syst. Man Cybern., Part B, Cybern. , vol.28 , Issue.1 , pp. 103-109
    • Pedrycz, W.1
  • 23
    • 58449116911 scopus 로고    scopus 로고
    • From fuzzy sets to shadowed sets: Interpretation and computing
    • W. Pedrycz From fuzzy sets to shadowed sets: interpretation and computing Int. J. Intell. Syst. 24 1 2009 48 61
    • (2009) Int. J. Intell. Syst. , vol.24 , Issue.1 , pp. 48-61
    • Pedrycz, W.1
  • 25
    • 33646000606 scopus 로고    scopus 로고
    • Granular computing with shadowed sets
    • Lecture Notes in Computer Science
    • W. Pedrycz Granular computing with shadowed sets Rough Sets and Granular Computing Lecture Notes in Computer Science vol. 3641(2) 2005 23 32
    • (2005) Rough Sets and Granular Computing , vol.3641 , Issue.2 , pp. 23-32
    • Pedrycz, W.1
  • 26
    • 84901854835 scopus 로고    scopus 로고
    • Decision-theoretic three-way approximations of fuzzy sets
    • X.F. Deng, and Y.Y. Yao Decision-theoretic three-way approximations of fuzzy sets Inf. Sci. 279 2014 702 715
    • (2014) Inf. Sci. , vol.279 , pp. 702-715
    • Deng, X.F.1    Yao, Y.Y.2
  • 27
    • 0029305476 scopus 로고
    • Vagueness and uncertainty: A rough set perspective
    • Z. Pawlak Vagueness and uncertainty: a rough set perspective Comput. Intell. 11 2 1995 227 232
    • (1995) Comput. Intell. , vol.11 , Issue.2 , pp. 227-232
    • Pawlak, Z.1
  • 28
    • 0001905486 scopus 로고
    • Knowledge acquisition under uncertainty-A rough set approach
    • J.W. Grzymala-Busse Knowledge acquisition under uncertainty-a rough set approach J. Intell. Robot. Syst. 1 1 1988 3 16
    • (1988) J. Intell. Robot. Syst. , vol.1 , Issue.1 , pp. 3-16
    • Grzymala-Busse, J.W.1
  • 29
    • 0033337745 scopus 로고    scopus 로고
    • Measuring uncertainty in rough set theory
    • M.J. Wierman Measuring uncertainty in rough set theory Int. J. Gen. Syst. 28 4-5 1999 283 297
    • (1999) Int. J. Gen. Syst. , vol.28 , Issue.4-5 , pp. 283-297
    • Wierman, M.J.1
  • 30
    • 1842674114 scopus 로고    scopus 로고
    • A new method for measuring uncertainty and fuzziness in rough set theory
    • J.Y. Liang, K.S. Chin, and C.Y. Dang A new method for measuring uncertainty and fuzziness in rough set theory Int. J. Gen. Syst. 31 4 2002 331 342
    • (2002) Int. J. Gen. Syst. , vol.31 , Issue.4 , pp. 331-342
    • Liang, J.Y.1    Chin, K.S.2    Dang, C.Y.3
  • 31
    • 84961289876 scopus 로고    scopus 로고
    • The approximation set of a vague set in rough approximation space
    • Q.H. Zhang, J. Wang, and G.Y. Wang The approximation set of a vague set in rough approximation space Inf. Sci. 300 2015 1 19
    • (2015) Inf. Sci. , vol.300 , pp. 1-19
    • Zhang, Q.H.1    Wang, J.2    Wang, G.Y.3
  • 32
    • 1842786592 scopus 로고    scopus 로고
    • The information entropy, rough entropy and knowledge granulation in rough set theory
    • J.Y. Liang, and Z.Z. Shi The information entropy, rough entropy and knowledge granulation in rough set theory Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 12 1 2004 37 46
    • (2004) Int. J. Uncertain. Fuzziness Knowl.-Based Syst. , vol.12 , Issue.1 , pp. 37-46
    • Liang, J.Y.1    Shi, Z.Z.2
  • 33
    • 84876239532 scopus 로고    scopus 로고
    • A new method for measuring fuzziness of vague set or intuitionistic fuzzy set
    • Q.H. Zhang, Y. Xiao, and G.Y. Wang A new method for measuring fuzziness of vague set or intuitionistic fuzzy set J. Intell. Fuzzy Syst. 25 2 2013 505 515
    • (2013) J. Intell. Fuzzy Syst. , vol.25 , Issue.2 , pp. 505-515
    • Zhang, Q.H.1    Xiao, Y.2    Wang, G.Y.3
  • 34
    • 76049113696 scopus 로고    scopus 로고
    • Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications
    • Q.H. Hu, L. Zhang, and D.G. Chen Gaussian kernel based fuzzy rough sets: model, uncertainty measures and applications Int. J. Approx. Reason. 51 4 2010 453 471
    • (2010) Int. J. Approx. Reason. , vol.51 , Issue.4 , pp. 453-471
    • Hu, Q.H.1    Zhang, L.2    Chen, D.G.3
  • 35
    • 84888040083 scopus 로고    scopus 로고
    • Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
    • N. Azam, and J.T. Yao Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets Int. J. Approx. Reason. 55 1 2014 142 155
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.1 , pp. 142-155
    • Azam, N.1    Yao, J.T.2
  • 36
    • 84927699701 scopus 로고    scopus 로고
    • Monotonic uncertainty measures for attribute reduction in probabilistic rough set model
    • G.Y. Wang, X. Ma, and H. Yu Monotonic uncertainty measures for attribute reduction in probabilistic rough set model Int. J. Approx. Reason. 59 2015 41 67
    • (2015) Int. J. Approx. Reason. , vol.59 , pp. 41-67
    • Wang, G.Y.1    Ma, X.2    Yu, H.3
  • 37
    • 84858798041 scopus 로고    scopus 로고
    • Probabilistic rough set over two universes and rough entropy
    • W.M. Ma, and B.Z. Sun Probabilistic rough set over two universes and rough entropy Int. J. Approx. Reason. 53 4 2012 608 619
    • (2012) Int. J. Approx. Reason. , vol.53 , Issue.4 , pp. 608-619
    • Ma, W.M.1    Sun, B.Z.2
  • 38
    • 84907440784 scopus 로고    scopus 로고
    • Probabilistic decision method and application based on the hybrid model of grey clustering and variable precision rough fuzzy set
    • Y. Liu, L.R. Jian, and J. Forrest Probabilistic decision method and application based on the hybrid model of grey clustering and variable precision rough fuzzy set J. Ind. Eng. Eng. Manag. 27 3 2013 110 116
    • (2013) J. Ind. Eng. Eng. Manag. , vol.27 , Issue.3 , pp. 110-116
    • Liu, Y.1    Jian, L.R.2    Forrest, J.3
  • 39
    • 84871556883 scopus 로고    scopus 로고
    • Rule measures tradeoff using game-theoretic rough sets
    • Lecture Notes in Computer Science
    • Y. Zhang, and J.T. Yao Rule measures tradeoff using game-theoretic rough sets Brain Informatics Lecture Notes in Computer Science vol. 7670(3-4) 2012 348 359
    • (2012) Brain Informatics , vol.7670 , Issue.3-4 , pp. 348-359
    • Zhang, Y.1    Yao, J.T.2
  • 40
    • 84863915838 scopus 로고    scopus 로고
    • A probabilistic rough set approach for water reservoirs site location decision making
    • ICCSA 2012 Lecture Notes in Computer Science
    • S. Shaaban, and H. Nabwey A probabilistic rough set approach for water reservoirs site location decision making Computational Science and Its Applications ICCSA 2012 Lecture Notes in Computer Science vol. 7334 2012 358 372
    • (2012) Computational Science and Its Applications , vol.7334 , pp. 358-372
    • Shaaban, S.1    Nabwey, H.2
  • 41
    • 73149118678 scopus 로고    scopus 로고
    • MGRS: A multi-granulation rough set
    • Y.H. Qian, J.Y. Liang, and Y.Y. Yao MGRS: a multi-granulation rough set Inf. Sci. 180 6 2010 949 970
    • (2010) Inf. Sci. , vol.180 , Issue.6 , pp. 949-970
    • Qian, Y.H.1    Liang, J.Y.2    Yao, Y.Y.3
  • 42
    • 84901761799 scopus 로고    scopus 로고
    • On multi-granulation covering rough sets
    • C.H. Liu, D.Q. Miao, and J. Qian On multi-granulation covering rough sets Int. J. Approx. Reason. 55 6 2014 1404 1418
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.6 , pp. 1404-1418
    • Liu, C.H.1    Miao, D.Q.2    Qian, J.3
  • 43
    • 84878798865 scopus 로고    scopus 로고
    • Multi-granulation rough sets based on tolerance relations
    • W.H. Xu, Q.R. Wang, and X.T. Zhang Multi-granulation rough sets based on tolerance relations Soft Comput. 17 7 2013 1241 1252
    • (2013) Soft Comput. , vol.17 , Issue.7 , pp. 1241-1252
    • Xu, W.H.1    Wang, Q.R.2    Zhang, X.T.3
  • 44
    • 84863012305 scopus 로고    scopus 로고
    • Multi-granulation fuzzy rough sets in a fuzzy tolerance approximation space
    • W.H. Xu, Q.R. Wang, and X.T. Zhang Multi-granulation fuzzy rough sets in a fuzzy tolerance approximation space Int. J. Fuzzy Syst. 13 4 2011 246 259
    • (2011) Int. J. Fuzzy Syst. , vol.13 , Issue.4 , pp. 246-259
    • Xu, W.H.1    Wang, Q.R.2    Zhang, X.T.3
  • 45
    • 84861375193 scopus 로고    scopus 로고
    • Multiple granulation rough set approach to ordered information systems
    • W.H. Xu, W.X. Sun, X.Y. Zhang, and W.X. Zhang Multiple granulation rough set approach to ordered information systems Int. J. Gen. Syst. 41 5 2012 475 501
    • (2012) Int. J. Gen. Syst. , vol.41 , Issue.5 , pp. 475-501
    • Xu, W.H.1    Sun, W.X.2    Zhang, X.Y.3    Zhang, W.X.4
  • 46
    • 84893965824 scopus 로고    scopus 로고
    • Multi-granulation fuzzy rough sets
    • W.H. Xu, Q.R. Wang, and S.Q. Luo Multi-granulation fuzzy rough sets J. Intell. Fuzzy Syst. 26 3 2014 1323 1340
    • (2014) J. Intell. Fuzzy Syst. , vol.26 , Issue.3 , pp. 1323-1340
    • Xu, W.H.1    Wang, Q.R.2    Luo, S.Q.3
  • 48
    • 84930069779 scopus 로고    scopus 로고
    • Multigranulation decision-theoretic rough set in ordered information system
    • W.T. Li, and W.H. Xu Multigranulation decision-theoretic rough set in ordered information system Fundam. Inform. 139 1 2015 67 89
    • (2015) Fundam. Inform. , vol.139 , Issue.1 , pp. 67-89
    • Li, W.T.1    Xu, W.H.2
  • 50
    • 84883457689 scopus 로고    scopus 로고
    • Hierarchical structures on multi-granulation spaces
    • X.B. Yang, Y.H. Qian, and J.Y. Yang Hierarchical structures on multi-granulation spaces J. Comput. Sci. Technol. 27 6 2012 1169 1183
    • (2012) J. Comput. Sci. Technol. , vol.27 , Issue.6 , pp. 1169-1183
    • Yang, X.B.1    Qian, Y.H.2    Yang, J.Y.3
  • 51
    • 84864464131 scopus 로고    scopus 로고
    • NMGRS: Neighborhood-based multigranulation rough sets
    • G.P. Lin, Y.H. Qian, and J.J. Li NMGRS: neighborhood-based multigranulation rough sets Int. J. Approx. Reason. 53 7 2012 1080 1093
    • (2012) Int. J. Approx. Reason. , vol.53 , Issue.7 , pp. 1080-1093
    • Lin, G.P.1    Qian, Y.H.2    Li, J.J.3
  • 53
    • 84867840825 scopus 로고    scopus 로고
    • On the structure of the multi-granulation rough set model
    • Y.H. She, and X.L. He On the structure of the multi-granulation rough set model Knowl.-Based Syst. 36 6 2012 81 92
    • (2012) Knowl.-Based Syst. , vol.36 , Issue.6 , pp. 81-92
    • She, Y.H.1    He, X.L.2
  • 54
    • 84944256927 scopus 로고    scopus 로고
    • Rough set models in multi-granulation spaces
    • Y.Y. Yao, and Y.H. She Rough set models in multi-granulation spaces Inf. Sci. 327 10 2016 40 56
    • (2016) Inf. Sci. , vol.327 , Issue.10 , pp. 40-56
    • Yao, Y.Y.1    She, Y.H.2
  • 55
    • 34248666540 scopus 로고
    • Fuzzy sets
    • L.A. Zadeh Fuzzy sets Inf. Control 8 3 1965 338 353
    • (1965) Inf. Control , vol.8 , Issue.3 , pp. 338-353
    • Zadeh, L.A.1
  • 56
    • 84973631830 scopus 로고    scopus 로고
    • Rough set theory and knowledge acquisition
    • Lecture Notes in Computer Science
    • G.Y. Wang Rough set theory and knowledge acquisition Journal of Tsinghua University Lecture Notes in Computer Science 2001 107 119
    • (2001) Journal of Tsinghua University , pp. 107-119
    • Wang, G.Y.1
  • 59
    • 46749112873 scopus 로고    scopus 로고
    • Granular computing-The emerging paradigm
    • W. Pedrycz Granular computing-the emerging paradigm J. Uncertain Syst. 1 1 2007 38 61
    • (2007) J. Uncertain Syst. , vol.1 , Issue.1 , pp. 38-61
    • Pedrycz, W.1
  • 61
    • 0142030254 scopus 로고    scopus 로고
    • Granular computing: An introduction
    • Physica-Verlag HD
    • W. Pedrycz Granular computing: an introduction Lecture Notes in Computer Science vol. 45 2001 Physica-Verlag HD 309 328
    • (2001) Lecture Notes in Computer Science , vol.45 , pp. 309-328
    • Pedrycz, W.1
  • 62
    • 84867713560 scopus 로고    scopus 로고
    • The principle of justifiable granularity and an optimization of information granularity allocation as fundamentals of granular computing
    • W. Pedrycz The principle of justifiable granularity and an optimization of information granularity allocation as fundamentals of granular computing J. Inf. Process. Syst. 7 3 2011 397 412
    • (2011) J. Inf. Process. Syst. , vol.7 , Issue.3 , pp. 397-412
    • Pedrycz, W.1
  • 63
    • 84887481112 scopus 로고    scopus 로고
    • Granular computing: Perspectives and challenges
    • J.T. Yao, A. Vasilakos, and W. Pedrycz Granular computing: perspectives and challenges IEEE Trans. Cybern. 43 6 2013 1977 1989
    • (2013) IEEE Trans. Cybern. , vol.43 , Issue.6 , pp. 1977-1989
    • Yao, J.T.1    Vasilakos, A.2    Pedrycz, W.3
  • 66
    • 51049123178 scopus 로고    scopus 로고
    • An uncertainty measure in rough fuzzy sets
    • Z.X. Guo, and J.S. Mi An uncertainty measure in rough fuzzy sets Fuzzy Syst. Math. 19 4 2005 135 140
    • (2005) Fuzzy Syst. Math. , vol.19 , Issue.4 , pp. 135-140
    • Guo, Z.X.1    Mi, J.S.2
  • 67
    • 54749133520 scopus 로고    scopus 로고
    • Uncertainty of rough sets in different knowledge granularities
    • G.Y. Wang, and Q.H. Zhang Uncertainty of rough sets in different knowledge granularities Chin. J. Comput. 31 9 2008 1588 1598
    • (2008) Chin. J. Comput. , vol.31 , Issue.9 , pp. 1588-1598
    • Wang, G.Y.1    Zhang, Q.H.2
  • 68
    • 77955753828 scopus 로고    scopus 로고
    • Research on uncertainty of rough fuzzy sets in different knowledge granularity levels
    • 2010 International Conference on ICICTA
    • Q.H. Zhang Research on uncertainty of rough fuzzy sets in different knowledge granularity levels Intelligent Computation Technology and Automation 2010 International Conference on ICICTA vol. 3 2010 190 193
    • (2010) Intelligent Computation Technology and Automation , vol.3 , pp. 190-193
    • Zhang, Q.H.1
  • 69
    • 1842674114 scopus 로고    scopus 로고
    • A new method for measuring uncertainty and fuzziness in rough set theory
    • J.Y. Liang, K.S. Chin, and C.Y. Dang A new method for measuring uncertainty and fuzziness in rough set theory Int. J. Gen. Syst. 31 4 2002 331 342
    • (2002) Int. J. Gen. Syst. , vol.31 , Issue.4 , pp. 331-342
    • Liang, J.Y.1    Chin, K.S.2    Dang, C.Y.3
  • 70
    • 56349098673 scopus 로고    scopus 로고
    • Rough set-based heuristic hybrid recognizer and its application in fault diagnosis
    • Z.K. Geng, and Q.X. Zhu Rough set-based heuristic hybrid recognizer and its application in fault diagnosis Expert Syst. Appl. 36 2 2009 2711 2718
    • (2009) Expert Syst. Appl. , vol.36 , Issue.2 , pp. 2711-2718
    • Geng, Z.K.1    Zhu, Q.X.2
  • 71
    • 0038587598 scopus 로고    scopus 로고
    • Fault diagnosis based on rough set theory
    • F.E.H. Tay, and L.X. Shen Fault diagnosis based on rough set theory Eng. Appl. Artif. Intell. 16 1 2003 39 43
    • (2003) Eng. Appl. Artif. Intell. , vol.16 , Issue.1 , pp. 39-43
    • Tay, F.E.H.1    Shen, L.X.2
  • 72
    • 0000494080 scopus 로고    scopus 로고
    • Rough mereology: A new paradigm for approximate reasoning
    • L. Polkowski, and A. Skowron Rough mereology: a new paradigm for approximate reasoning Int. J. Approx. Reason. 15 4 1996 333 365
    • (1996) Int. J. Approx. Reason. , vol.15 , Issue.4 , pp. 333-365
    • Polkowski, L.1    Skowron, A.2
  • 73
    • 2342664664 scopus 로고    scopus 로고
    • RRIA: A rough set and rule tree based incremental knowledge acquisition algorithm
    • Z. Zheng, and G.Y. Wang RRIA: a rough set and rule tree based incremental knowledge acquisition algorithm Fundam. Inform. 59 2-3 2004 299 313
    • (2004) Fundam. Inform. , vol.59 , Issue.2-3 , pp. 299-313
    • Zheng, Z.1    Wang, G.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.