메뉴 건너뛰기




Volumn 55, Issue 3, 2014, Pages 834-852

Set-based granular computing: A lattice model

Author keywords

Granular computing; Information granularity; Knowledge distance; Operator; Rough set theory

Indexed keywords


EID: 84894466965     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2013.11.001     Document Type: Article
Times cited : (59)

References (60)
  • 2
    • 42549111230 scopus 로고    scopus 로고
    • Toward a theory of granular computing for human-centred information processing
    • A. Bargiela, and W. Pedrycz Toward a theory of granular computing for human-centred information processing IEEE Trans. Fuzzy Syst. 16 2 2008 320 330
    • (2008) IEEE Trans. Fuzzy Syst. , vol.16 , Issue.2 , pp. 320-330
    • Bargiela, A.1    Pedrycz, W.2
  • 4
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • J.F. Brendan, and D. Delbert Clustering by passing messages between data points Science 315 16 2007 972 976
    • (2007) Science , vol.315 , Issue.16 , pp. 972-976
    • Brendan, J.F.1    Delbert, D.2
  • 5
    • 78349276668 scopus 로고    scopus 로고
    • Information entropy and granulation coentropy of partitions and coverings: A summary
    • D. Bianucci, and G. Cattaneo Information entropy and granulation coentropy of partitions and coverings: a summary Trans. Rough Sets 10 2009 15 66
    • (2009) Trans. Rough Sets , vol.10 , pp. 15-66
    • Bianucci, D.1    Cattaneo, G.2
  • 6
    • 0000864105 scopus 로고    scopus 로고
    • Global discretization of continuous attributes as preprocessing for machine learning
    • M.R. Chmielewski, and J.W. Grzymala-Busse Global discretization of continuous attributes as preprocessing for machine learning Int. J. Approx. Reason. 15 4 1996 319 331
    • (1996) Int. J. Approx. Reason. , vol.15 , Issue.4 , pp. 319-331
    • Chmielewski, M.R.1    Grzymala-Busse, J.W.2
  • 7
    • 67650991854 scopus 로고    scopus 로고
    • Image interpretation with a conceptual graph: Labeling over-segmented images and detection of unexpected objects
    • A. Deruyver, Y. Hodé, and L. Brun Image interpretation with a conceptual graph: Labeling over-segmented images and detection of unexpected objects Artif. Intell. 173 2009 1245 1265
    • (2009) Artif. Intell. , vol.173 , pp. 1245-1265
    • Deruyver, A.1    Hodé, Y.2    Brun, L.3
  • 8
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-based search in feature selection
    • M. Dash, and H. Liu Consistency-based search in feature selection Artif. Intell. 151 2003 155 176
    • (2003) Artif. Intell. , vol.151 , pp. 155-176
    • Dash, M.1    Liu, H.2
  • 9
    • 84879603249 scopus 로고    scopus 로고
    • A granular neural network: Performance analysis and application to re-granulation
    • S. Dick, A. Tappenden, C. Badke, and O. Olarewaju A granular neural network: performance analysis and application to re-granulation Int. J. Approx. Reason. 54 8 2013 1149 1167
    • (2013) Int. J. Approx. Reason. , vol.54 , Issue.8 , pp. 1149-1167
    • Dick, S.1    Tappenden, A.2    Badke, C.3    Olarewaju, O.4
  • 10
    • 0032205549 scopus 로고    scopus 로고
    • Uncertainty measures of rough set prediction
    • I. Düntsch, and G. Gediga Uncertainty measures of rough set prediction Artif. Intell. 106 1998 109 137
    • (1998) Artif. Intell. , vol.106 , pp. 109-137
    • Düntsch, I.1    Gediga, G.2
  • 11
    • 0035501187 scopus 로고    scopus 로고
    • Rough approximation quality revisited
    • G. Gediga, and I. Düntsch Rough approximation quality revisited Artif. Intell. 132 2001 219 234
    • (2001) Artif. Intell. , vol.132 , pp. 219-234
    • Gediga, G.1    Düntsch, I.2
  • 12
    • 0032180332 scopus 로고    scopus 로고
    • Rough computational methods for information systems
    • J.W. Guan, and D.A. Bell Rough computational methods for information systems Artif. Intell. 105 1998 77 103
    • (1998) Artif. Intell. , vol.105 , pp. 77-103
    • Guan, J.W.1    Bell, D.A.2
  • 13
    • 33645801018 scopus 로고    scopus 로고
    • Fuzzy probabilistic approximation spaces and their information measures
    • Q.H. Hu, D.R. Yu, Z.X. Xie, and J.F. Liu Fuzzy probabilistic approximation spaces and their information measures IEEE Trans. Fuzzy Syst. 14 2 2006 191 201
    • (2006) IEEE Trans. Fuzzy Syst. , vol.14 , Issue.2 , pp. 191-201
    • Hu, Q.H.1    Yu, D.R.2    Xie, Z.X.3    Liu, J.F.4
  • 15
    • 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
  • 16
    • 33750915055 scopus 로고    scopus 로고
    • The information entropy, rough entropy and knowledge granulation in incomplete information systems
    • J.Y. Liang, Z.Z. Shi, D.Y. Li, and M.J. Wierman The information entropy, rough entropy and knowledge granulation in incomplete information systems Int. J. Gen. Syst. 35 6 2006 641 654
    • (2006) Int. J. Gen. Syst. , vol.35 , Issue.6 , pp. 641-654
    • Liang, J.Y.1    Shi, Z.Z.2    Li, D.Y.3    Wierman, M.J.4
  • 17
    • 51849091385 scopus 로고    scopus 로고
    • Information granules and entropy theory in information systems
    • J.Y. Liang, and Y.H. Qian Information granules and entropy theory in information systems Sci. China, Ser. F Inform. Sci. 51 10 2008 1427 1444
    • (2008) Sci. China, Ser. F Inform. Sci. , vol.51 , Issue.10 , pp. 1427-1444
    • Liang, J.Y.1    Qian, Y.H.2
  • 18
    • 77958538921 scopus 로고    scopus 로고
    • Granular computing: Practices, theories, and future directions
    • T.Y. Lin Granular computing: practices, theories, and future directions Encyclopedia of Complexity and Systems Science 2009 4339 4355
    • (2009) Encyclopedia of Complexity and Systems Science , pp. 4339-4355
    • Lin, T.Y.1
  • 19
    • 77958527396 scopus 로고    scopus 로고
    • Deductive data mining using granular computing
    • T.Y. Lin Deductive data mining using granular computing Encyclopedia of Database Systems 2009 772 778
    • (2009) Encyclopedia of Database Systems , pp. 772-778
    • Lin, T.Y.1
  • 20
    • 0034274083 scopus 로고    scopus 로고
    • Data mining and machine oriented modeling: A granular computing approach
    • T.Y. Lin Data mining and machine oriented modeling: a granular computing approach Appl. Intell. 13 2 2000 113 124
    • (2000) Appl. Intell. , vol.13 , Issue.2 , pp. 113-124
    • Lin, T.Y.1
  • 22
    • 34548635046 scopus 로고    scopus 로고
    • Granular computing and dual Galois connection
    • J.M. Ma, W.X. Zhang, Y. Leung, and X.X. Song Granular computing and dual Galois connection Inf. Sci. 177 2007 5365 5377
    • (2007) Inf. Sci. , vol.177 , pp. 5365-5377
    • Ma, J.M.1    Zhang, W.X.2    Leung, Y.3    Song, X.X.4
  • 23
    • 84875705578 scopus 로고    scopus 로고
    • Axiomatic characterizations of dual concept lattices
    • J.M. Ma, and W.X. Zhang Axiomatic characterizations of dual concept lattices Int. J. Approx. Reason. 54 5 2013 690 697
    • (2013) Int. J. Approx. Reason. , vol.54 , Issue.5 , pp. 690-697
    • Ma, J.M.1    Zhang, W.X.2
  • 24
    • 20444488080 scopus 로고    scopus 로고
    • A uncertainty measure in partition-based fuzzy rough sets
    • J.S. Mi, Y. Leung, and W.Z. Wu A uncertainty measure in partition-based fuzzy rough sets Int. J. Gen. Syst. 34 1 2005 77 90
    • (2005) Int. J. Gen. Syst. , vol.34 , Issue.1 , pp. 77-90
    • Mi, J.S.1    Leung, Y.2    Wu, W.Z.3
  • 27
    • 0036532805 scopus 로고    scopus 로고
    • Feature analysis through information granulation and fuzzy sets
    • W. Pedrycz, and G. Vukovich Feature analysis through information granulation and fuzzy sets Pattern Recognit. 35 2002 825 834
    • (2002) Pattern Recognit. , vol.35 , pp. 825-834
    • Pedrycz, W.1    Vukovich, G.2
  • 28
    • 0036770466 scopus 로고    scopus 로고
    • Relational and directional aspects in the construction of information granules
    • W. Pedrycz Relational and directional aspects in the construction of information granules IEEE Trans. Syst. Man. Cybern., Part A 32 5 2002 605 614
    • (2002) IEEE Trans. Syst. Man. Cybern., Part A , vol.32 , Issue.5 , pp. 605-614
    • Pedrycz, W.1
  • 30
    • 0343975239 scopus 로고
    • On convergence of rough sets
    • R. Slowinski, Handbook of Applications and Advances of Rough Set Theory Kluwer Dordrecht
    • L. Polkowski On convergence of rough sets R. Slowinski, Intelligent Decision Support Handbook of Applications and Advances of Rough Set Theory vol. 11 1992 Kluwer Dordrecht 305 311
    • (1992) Intelligent Decision Support , vol.11 , pp. 305-311
    • Polkowski, L.1
  • 31
    • 44349111128 scopus 로고    scopus 로고
    • Combination entropy and combination granulation in rough set theory
    • Y.H. Qian, and J.Y. Liang Combination entropy and combination granulation in rough set theory Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 16 2 2008 179 193
    • (2008) Int. J. Uncertain. Fuzziness Knowl.-Based Syst. , vol.16 , Issue.2 , pp. 179-193
    • Qian, Y.H.1    Liang, J.Y.2
  • 32
    • 40649117648 scopus 로고    scopus 로고
    • Converse approximation and rule extraction from decision tables in rough set theory
    • Y.H. Qian, J.Y. Liang, and C.Y. Dang Converse approximation and rule extraction from decision tables in rough set theory Comput. Math. Appl. 55 2008 1754 1765
    • (2008) Comput. Math. Appl. , vol.55 , pp. 1754-1765
    • Qian, Y.H.1    Liang, J.Y.2    Dang, C.Y.3
  • 33
    • 58849144238 scopus 로고    scopus 로고
    • Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
    • Y.H. Qian, J.Y. Liang, and C.Y. Dang Knowledge structure, knowledge granulation and knowledge distance in a knowledge base Int. J. Approx. Reason. 50 1 2009 174 188
    • (2009) Int. J. Approx. Reason. , vol.50 , Issue.1 , pp. 174-188
    • Qian, Y.H.1    Liang, J.Y.2    Dang, C.Y.3
  • 35
    • 77951118185 scopus 로고    scopus 로고
    • Positive approximation: An accelerator for attribute reduction in rough set theory
    • Y.H. Qian, J.Y. Liang, W. Pedrycz, and C.Y. Dang Positive approximation: an accelerator for attribute reduction in rough set theory Artif. Intell. 174 2010 597 618
    • (2010) Artif. Intell. , vol.174 , pp. 597-618
    • Qian, Y.H.1    Liang, J.Y.2    Pedrycz, W.3    Dang, C.Y.4
  • 38
    • 33744584654 scopus 로고
    • Induction of decision rules
    • R. Quinlan Induction of decision rules Mach. Learn. 1 1 1986 81 106
    • (1986) Mach. Learn. , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, R.1
  • 39
    • 84856043672 scopus 로고
    • The mathematical theory of communication
    • 623-656
    • C.E. Shannon The mathematical theory of communication Bell Syst. Tech. J. 27 3-4 1948 373 423 623-656
    • (1948) Bell Syst. Tech. J. , vol.27 , Issue.34 , pp. 373-423
    • Shannon, C.E.1
  • 40
  • 41
    • 0036948613 scopus 로고    scopus 로고
    • Approximate entropy reducts
    • D. Slezak Approximate entropy reducts Fundam. Inform. 53 3-4 2002 365 390
    • (2002) Fundam. Inform. , vol.53 , Issue.34 , pp. 365-390
    • Slezak, D.1
  • 42
    • 0037332841 scopus 로고    scopus 로고
    • Rough set methods in feature selection and recognition
    • R.W. Swiniarski, and A. Skowron Rough set methods in feature selection and recognition Pattern Recognit. Lett. 24 2003 833 849
    • (2003) Pattern Recognit. Lett. , vol.24 , pp. 833-849
    • Swiniarski, R.W.1    Skowron, A.2
  • 43
    • 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 1999 283 297
    • (1999) Int. J. Gen. Syst. , vol.28 , Issue.4 , pp. 283-297
    • Wierman, M.J.1
  • 44
    • 0036646071 scopus 로고    scopus 로고
    • Neighborhood operator systems and approximations
    • W.Z. Wu, and W.X. Zhang Neighborhood operator systems and approximations Inf. Sci. 144 2002 201 217
    • (2002) Inf. Sci. , vol.144 , pp. 201-217
    • Wu, W.Z.1    Zhang, W.X.2
  • 45
    • 70349314328 scopus 로고    scopus 로고
    • Granular computing and knowledge reduction in formal contexts
    • W.Z. Wu, Y. Leung, and J.S. Mi Granular computing and knowledge reduction in formal contexts IEEE Trans. Knowl. Data Eng. 21 10 2009 1461 1474
    • (2009) IEEE Trans. Knowl. Data Eng. , vol.21 , Issue.10 , pp. 1461-1474
    • Wu, W.Z.1    Leung, Y.2    Mi, J.S.3
  • 46
    • 21144458704 scopus 로고    scopus 로고
    • An improved accuracy measure for rough sets
    • B.W. Xu, Y.M. Zhou, and H.M. Lu An improved accuracy measure for rough sets J. Comput. Syst. Sci. 71 2005 163 173
    • (2005) J. Comput. Syst. Sci. , vol.71 , pp. 163-173
    • Xu, B.W.1    Zhou, Y.M.2    Lu, H.M.3
  • 50
    • 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 1 2001 87 104
    • (2001) Int. J. Intell. Syst. , vol.16 , Issue.1 , pp. 87-104
    • Yao, Y.Y.1
  • 51
    • 0001775050 scopus 로고    scopus 로고
    • Granular computing using neighborhood systems
    • R. Roy, T. Furuhashi, P.K. Chawdhry, Springer-Verlag London
    • Y.Y. Yao Granular computing using neighborhood systems R. Roy, T. Furuhashi, P.K. Chawdhry, Advances in Soft Computing: Engineering Design and Manufacturing 1999 Springer-Verlag London 539 553
    • (1999) Advances in Soft Computing: Engineering Design and Manufacturing , pp. 539-553
    • Yao, Y.Y.1
  • 52
    • 58149380314 scopus 로고    scopus 로고
    • Integrative levels of granularity in human-centric information processing through granular modelling
    • A. Bargiela, W. Pedrycz, Studies in Computational Intelligence Springer-Verlag Berlin, Heidelberg
    • Y.Y. Yao Integrative levels of granularity in human-centric information processing through granular modelling A. Bargiela, W. Pedrycz, Human-Centric Information Processing Studies in Computational Intelligence vol. 182 2009 Springer-Verlag Berlin, Heidelberg 31 47
    • (2009) Human-Centric Information Processing , vol.182 , pp. 31-47
    • Yao, Y.Y.1
  • 53
    • 0030142764 scopus 로고    scopus 로고
    • Fuzzy logic equals computing with words
    • L. Zadeh Fuzzy logic equals computing with words IEEE Trans. Fuzzy Syst. 4 2 1996 103 111
    • (1996) IEEE Trans. Fuzzy Syst. , vol.4 , Issue.2 , pp. 103-111
    • Zadeh, L.1
  • 54
    • 1642469977 scopus 로고    scopus 로고
    • Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
    • L. Zadeh Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic Fuzzy Sets Syst. 90 2 1997 111 127
    • (1997) Fuzzy Sets Syst. , vol.90 , Issue.2 , pp. 111-127
    • Zadeh, L.1
  • 55
    • 0003123776 scopus 로고    scopus 로고
    • Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems
    • L. Zadeh Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems Soft Comput. 2 1998 23 25
    • (1998) Soft Comput. , vol.2 , pp. 23-25
    • Zadeh, L.1
  • 56
    • 0035279095 scopus 로고    scopus 로고
    • A new direction in AI - Toward a computational theory of perceptions
    • L. Zadeh A new direction in AI - Toward a computational theory of perceptions AI Mag. 22 1 2001 73 84
    • (2001) AI Mag. , vol.22 , Issue.1 , pp. 73-84
    • Zadeh, L.1
  • 57
    • 42749097020 scopus 로고    scopus 로고
    • Is there a need for fuzzy logic?
    • L. Zadeh Is there a need for fuzzy logic? Inf. Sci. 178 2008 2751 2779
    • (2008) Inf. Sci. , vol.178 , pp. 2751-2779
    • Zadeh, L.1
  • 59
    • 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, and 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 8 2013 1130 1148
    • (2013) Int. J. Approx. Reason. , vol.54 , Issue.8 , pp. 1130-1148
    • Zhang, X.Y.1    Miao, D.Q.2
  • 60
    • 77949940694 scopus 로고    scopus 로고
    • Building a rule-based classifier-a fuzzy rough set approach
    • S.Y. Zhao, E.C.C. Tsang, and X.Z. Wang Building a rule-based classifier-a fuzzy rough set approach IEEE Trans. Knowl. Data Eng. 22 5 2009 624 638
    • (2009) IEEE Trans. Knowl. Data Eng. , vol.22 , Issue.5 , pp. 624-638
    • Zhao, S.Y.1    Tsang, E.C.C.2    Wang, X.Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.