메뉴 건너뛰기




Volumn 52, Issue 7, 2011, Pages 1056-1072

Determination of the threshold value β of variable precision rough set by fuzzy algorithms

Author keywords

Fuzzy algorithms; Fuzzy C means; Implication relations; Probabilistic rough set; VPRS

Indexed keywords

FUZZY ALGORITHMS; FUZZY C MEAN; IMPLICATION RELATIONS; ROUGH SET; VPRS;

EID: 80052422181     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2011.05.001     Document Type: Article
Times cited : (44)

References (49)
  • 1
    • 0030415076 scopus 로고    scopus 로고
    • Discovering rules for water demand prediction: An enhanced rough-set approach
    • DOI 10.1016/S0952-1976(96)00059-0, PII S0952197696000590
    • A. An, N. Shan, C. Chan, N. Cercone, and W. Ziarko Discovering rules for water demand prediction: an enhanced rough-set approach Engineering Application and Artificial Intelligence 9 1996 645 653 (Pubitemid 126371625)
    • (1996) Engineering Applications of Artificial Intelligence , vol.9 , Issue.6 , pp. 645-653
    • An, A.1    Shan, N.2    Chan, C.3    Cercone, N.4    Ziarko, W.5
  • 2
    • 84957795755 scopus 로고    scopus 로고
    • An investigating of β-reduct selection within the variable precision rough sets model
    • Lecture Notes in Artificial Intelligence Series Springer Berlin
    • M. Beynon An investigating of β-reduct selection within the variable precision rough sets model The Second International Conference on Rough Sets and Current Trend in Computing Lecture Notes in Artificial Intelligence Series 2000 Springer Berlin 114 122
    • (2000) The Second International Conference on Rough Sets and Current Trend in Computing , pp. 114-122
    • Beynon, M.1
  • 3
    • 27744523339 scopus 로고    scopus 로고
    • The identification of low-paying workplaces: An analysis using the variable precision rough sets model
    • Lecture Notes in Artificial Intelligence Series Springer Berlin
    • M. Beynon The identification of low-paying workplaces: an analysis using the variable precision rough sets model The Third International Conference on Rough Sets and Current Trend in Computing Lecture Notes in Artificial Intelligence Series 2000 Springer Berlin 530 537
    • (2000) The Third International Conference on Rough Sets and Current Trend in Computing , pp. 530-537
    • Beynon, M.1
  • 4
    • 0035502119 scopus 로고    scopus 로고
    • Reducts within the variable precision rough sets model: A further investigation
    • DOI 10.1016/S0377-2217(00)00280-0, PII S0377221700002800
    • M. Beynon Reducts within the variable precision rough sets model: a further investigation European Journal of Operational Research 134 2001 592 605 (Pubitemid 32768265)
    • (2001) European Journal of Operational Research , vol.134 , Issue.3 , pp. 592-605
    • Beynon, M.1
  • 5
    • 0043234660 scopus 로고    scopus 로고
    • Variable precision rough set theory and data discretisation: An application to corporate failure prediction
    • DOI 10.1016/S0305-0483(01)00045-7, PII S0305048301000457
    • M. Beynon, and M.J. Peel Variable precision rough set theory and data discretisation: an application to corporate failure prediction Omega-International Journal of Management Science 29 2001 561 576 (Pubitemid 33628771)
    • (2001) Omega , vol.29 , Issue.6 , pp. 561-576
    • Beynon, M.J.1    Peel, M.J.2
  • 6
    • 84942945490 scopus 로고    scopus 로고
    • Investigating the choice of l and u values in the extended variable precision rough sets model
    • Lecture Notes in Artificial Intelligence Series Springer Berlin
    • M. Beynon Investigating the choice of l and u values in the extended variable precision rough sets model The Third International Conference on Rough Sets and Current Trend in Computing Lecture Notes in Artificial Intelligence Series 2002 Springer Berlin 61 68
    • (2002) The Third International Conference on Rough Sets and Current Trend in Computing , pp. 61-68
    • Beynon, M.1
  • 7
    • 0242657729 scopus 로고    scopus 로고
    • Stability of continuous value discretisation: An application within rough set theory
    • M.J. Beynon Stability of continuous value discretisation: an application within rough set theory International Journal of Approximate Reasoning 35 2004 29 53
    • (2004) International Journal of Approximate Reasoning , vol.35 , pp. 29-53
    • Beynon, M.J.1
  • 9
    • 80052403139 scopus 로고    scopus 로고
    • private communications, unpublished
    • Ting-Hua Chang, Kuang-Yu Huang, private communications, unpublished.
    • Chang, T.-H.1    Huang, K.-Y.2
  • 10
    • 0000864105 scopus 로고    scopus 로고
    • Global discretization of continuous attributes as preprocessing for machine learning
    • PII S0888613X96000740
    • M.R. Chmielewski, and J.W. Grzymala-Busse Global discretization of continuous attributes as preprocessing for machine learning International Journal of Approximate Reasoning 15 1996 319 331 (Pubitemid 126414909)
    • (1996) International Journal of Approximate Reasoning , vol.15 , Issue.4 SPEC. ISS. , pp. 319-331
    • Chmielewski, M.R.1    Grzymala-Busse, J.W.2
  • 15
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • J.C. Dunn A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters Journal of Cybernetics 3 1973 32 57
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 18
    • 58349101071 scopus 로고    scopus 로고
    • A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories
    • K.Y. Huang, and C.J. Jane A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories Expert Systems With Applications 36 2009 5387 5392
    • (2009) Expert Systems with Applications , vol.36 , pp. 5387-5392
    • Huang, K.Y.1    Jane, C.J.2
  • 19
    • 0348170835 scopus 로고    scopus 로고
    • Fuzzy-rough attribute reduction with application to web categorization
    • R. Jensen, and Q. Shen Fuzzy-rough attribute reduction with application to web categorization Fuzzy Sets and Systems 141 2004 469 485
    • (2004) Fuzzy Sets and Systems , vol.141 , pp. 469-485
    • Jensen, R.1    Shen, Q.2
  • 20
    • 33947421283 scopus 로고    scopus 로고
    • Fuzzy-rough sets assisted attribute selection
    • DOI 10.1109/TFUZZ.2006.889761, Extensions of Type-1 Fuzzy Sets
    • R. Jensen, and Q. Shen Fuzzy-rough sets assisted attribute selection IEEE Transactions on Fuzzy Systems 15 1 2007 73 89 (Pubitemid 46444305)
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.1 , pp. 73-89
    • Jensen, R.1    Shen, Q.2
  • 21
    • 0030217431 scopus 로고    scopus 로고
    • Variable precision extension of rough sets
    • J.D. Katzberg, and W. Ziarko Variable precision extension of rough sets Fundamenta Informaticae 27 1996 155 168 (Pubitemid 126715027)
    • (1996) Fundamenta Informaticae , vol.27 , Issue.2-3 , pp. 155-168
    • Katzberg, J.D.1    Ziarko, W.2
  • 22
    • 0025404409 scopus 로고
    • Fuzzy logic in control systems: Fuzzy logic controller - Part i
    • C.C. Lee Fuzzy logic in control systems: fuzzy logic controller - Part I IEEE Transactions on System, Man and Cybernetics 20 1990 404 418
    • (1990) IEEE Transactions on System, Man and Cybernetics , vol.20 , pp. 404-418
    • Lee, C.C.1
  • 23
    • 0025405010 scopus 로고
    • Fuzzy logic in control systems: Fuzzy logic controller - Part II
    • C.C. Lee Fuzzy logic in control systems: fuzzy logic controller - Part II IEEE Transactions on System, Man and Cybernetics 20 1990 419 435
    • (1990) IEEE Transactions on System, Man and Cybernetics , vol.20 , pp. 419-435
    • Lee, C.C.1
  • 24
    • 2042476687 scopus 로고    scopus 로고
    • Mining classification rules using rough sets and neural networks
    • R. Li, and Z.-O. Wang Mining classification rules using rough sets and neural networks European Journal of Operational Research 157 2004 439 448
    • (2004) European Journal of Operational Research , vol.157 , pp. 439-448
    • Li, R.1    Wang, Z.-O.2
  • 25
    • 33645992293 scopus 로고    scopus 로고
    • Variable Precision Fuzzy Rough Sets
    • J.F. Peters, Springer-Verlag Berlin Heidelberg
    • A. Mieszkowicz-Rolka, and L. Rolka Variable Precision Fuzzy Rough Sets J.F. Peters, Transaction on Rough Sets I 2004 Springer-Verlag Berlin Heidelberg 144 160
    • (2004) Transaction on Rough Sets i , pp. 144-160
    • Mieszkowicz-Rolka, A.1    Rolka, L.2
  • 27
    • 0023854022 scopus 로고
    • Fuzzy Controls Various Reasoning Methods
    • M. Mizumoto Fuzzy Controls Various Reasoning Methods Information Sciences 45 1988 129 141
    • (1988) Information Sciences , vol.45 , pp. 129-141
    • Mizumoto, M.1
  • 30
    • 0028371883 scopus 로고
    • Rough set approach to multi-attribute decision analysis
    • Z. Pawlak Rough set approach to multi-attribute decision analysis European Journal of Operational Research 72 1994 443 459
    • (1994) European Journal of Operational Research , vol.72 , pp. 443-459
    • Pawlak, Z.1
  • 31
    • 33749667344 scopus 로고    scopus 로고
    • Rough sets: Some extensions
    • DOI 10.1016/j.ins.2006.06.006, PII S0020025506001496
    • Z. Pawlak, and A. Skowron Rough sets: some extensions Information Science 177 2007 28 40 (Pubitemid 44556699)
    • (2007) Information Sciences , vol.177 , Issue.1 , pp. 28-40
    • Pawlak, Z.1    Skowron, A.2
  • 32
    • 0033889022 scopus 로고    scopus 로고
    • α-RST: A generalization of rough set theory
    • DOI 10.1016/S0020-0255(99)00075-4
    • M. Quafafou α-RST: A generalization of rough set theory Information Science 124 2000 301 316 (Pubitemid 30577735)
    • (2000) Information sciences , vol.124 , Issue.1 , pp. 301-316
    • Quafafou, M.1
  • 34
    • 38249005526 scopus 로고
    • Fuzzy implication operators and generalized fuzzy method of cases
    • D. Ruan, and E.E. Kerre Fuzzy implication operators and generalized fuzzy method of cases Fuzzy Sets and Systems 54 1993 23 37
    • (1993) Fuzzy Sets and Systems , vol.54 , pp. 23-37
    • Ruan, D.1    Kerre, E.E.2
  • 35
    • 2442528339 scopus 로고    scopus 로고
    • Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring
    • DOI 10.1016/j.patcog.2003.10.016, PII S0031320303004242
    • Q. Shen, and R. Jensen Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring Pattern Recognition 37 2004 1351 1363 (Pubitemid 38653366)
    • (2004) Pattern Recognition , vol.37 , Issue.7 , pp. 1351-1363
    • Shen, Q.1    Jensen, R.2
  • 36
    • 80052409198 scopus 로고    scopus 로고
    • Rough sets, Bayes factor, LNCS transactions on rough set III
    • D. Slezak Rough sets, Bayes factor, LNCS transactions on rough set III LNCS 3400 2005 02 229
    • (2005) LNCS , vol.3400 , pp. 02-229
    • Slezak, D.1
  • 37
    • 19044375446 scopus 로고    scopus 로고
    • The investigation of the Bayesian rough set model
    • DOI 10.1016/j.ijar.2004.11.004, PII S0888613X04001410, Data Mining and Granular Computing
    • D. Slezak, and W. Ziarko The investigation of the Bayesian rough set model International Journal of Approximation Reasoning 40 2005 81 91 (Pubitemid 40710220)
    • (2005) International Journal of Approximate Reasoning , vol.40 , Issue.1-2 , pp. 81-91
    • Slezak, D.1    Ziarko, W.2
  • 39
    • 27744529900 scopus 로고    scopus 로고
    • Precision parameter in the variable precision rough sets model: An application
    • DOI 10.1016/j.omega.2004.08.005, PII S0305048304001380
    • C.-T. Su, and J.-H. Hsu Precision parameter in the variable precision rough sets model: an application Omega 34 2006 149 157 (Pubitemid 41600571)
    • (2006) Omega , vol.34 , Issue.2 , pp. 149-157
    • Su, C.-T.1    Hsu, J.-H.2
  • 42
    • 1642525198 scopus 로고    scopus 로고
    • Constructive and axiomatic approaches of fuzzy approximation operators
    • W.Z. Wu, and W.X. Zhang Constructive and axiomatic approaches of fuzzy approximation operators Information Science 159 2004 233 254
    • (2004) Information Science , vol.159 , pp. 233-254
    • Wu, W.Z.1    Zhang, W.X.2
  • 44
    • 0242289559 scopus 로고    scopus 로고
    • Probabilistic approaches to rough sets
    • Y.Y. Yao Probabilistic approaches to rough sets Expert Systems 20 2003 287 297
    • (2003) Expert Systems , vol.20 , pp. 287-297
    • Yao, Y.Y.1
  • 47
    • 0027543613 scopus 로고
    • Variable precision rough set model
    • DOI 10.1016/0022-0000(93)90048-2
    • W. Ziarko Variable precision rough set model Journal of Computer and System Sciences 46 1993 39 59 (Pubitemid 23639120)
    • (1993) Journal of Computer and System Sciences , vol.46 , Issue.1 , pp. 39-59
    • Ziarko Wojciech1
  • 48
    • 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 Computational Intelligence 17 2001 593 603 (Pubitemid 32934024)
    • (2001) Computational Intelligence , vol.17 , Issue.3 , pp. 593-603
    • Ziarko, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.