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Volumn 268, Issue , 2014, Pages 147-168

Quantitative information architecture, granular computing and rough set models in the double-quantitative approximation space of precision and grade

Author keywords

Double quantification; Graded rough set; Granular computing; Quantitative information architecture; Rough set theory; Variable precision rough set

Indexed keywords

APPROXIMATION ALGORITHMS; GRANULAR COMPUTING; GRANULATION; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; INFORMATION SCIENCE; SEMANTICS;

EID: 84897047334     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.09.020     Document Type: Article
Times cited : (54)

References (69)
  • 2
    • 84888040083 scopus 로고    scopus 로고
    • Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
    • doi:10.1016/j.ijar.2013.03.015
    • N. Azam, J.T. Yao, Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets, International Journal of Approximate Reasoning, http://dx.doi.org/10.1016/j.ijar.2013.03.015.
    • International Journal of Approximate Reasoning
    • Azam, N.1    Yao, J.T.2
  • 3
    • 0035502119 scopus 로고    scopus 로고
    • Reducts within the variable precision rough sets model: A further investigation
    • M. Beynon Reducts within the variable precision rough sets model: a further investigation European Journal of Operational Research 134 2001 592 605
    • (2001) European Journal of Operational Research , vol.134 , pp. 592-605
    • Beynon, M.1
  • 4
    • 84878237673 scopus 로고    scopus 로고
    • Rough set approach to incomplete numerical data
    • J.H. Dai Rough set approach to incomplete numerical data Information Sciences 241 2013 43 57
    • (2013) Information Sciences , vol.241 , pp. 43-57
    • Dai, J.H.1
  • 6
    • 52949127977 scopus 로고    scopus 로고
    • Parameterized rough set model using rough membership and bayesian confirmation measures
    • S. Greco, B. Matarazzo, and R. Słowiński Parameterized rough set model using rough membership and bayesian confirmation measures International Journal of Approximate Reasoning 49 2 2008 285 300
    • (2008) International Journal of Approximate Reasoning , vol.49 , Issue.2 , pp. 285-300
    • Greco, S.1    Matarazzo, B.2    Słowiński, R.3
  • 8
    • 33748597941 scopus 로고    scopus 로고
    • Mining fuzzy β-certain and β-possible rules from quantitative data based on the variable precision rough-set model
    • T.P. Hong, T.T. Wang, and S.L. Wang Mining fuzzy β-certain and β-possible rules from quantitative data based on the variable precision rough-set model Expert Systems with Applications 32 2007 223 232
    • (2007) Expert Systems with Applications , vol.32 , pp. 223-232
    • Hong, T.P.1    Wang, T.T.2    Wang, S.L.3
  • 9
    • 84856219675 scopus 로고    scopus 로고
    • Dominance-based rough set model in intuitionistic fuzzy information systems
    • B. Huang, H.X. Li, and D.K. Wei Dominance-based rough set model in intuitionistic fuzzy information systems Knowledge-Based Systems 28 2012 115 123
    • (2012) Knowledge-Based Systems , vol.28 , pp. 115-123
    • Huang, B.1    Li, H.X.2    Wei, D.K.3
  • 10
    • 80052422181 scopus 로고    scopus 로고
    • Determination of the threshold value β of variable precision rough set by fuzzy algorithms
    • K.Y. Huang, T.H. Chang, and T.C. Chang Determination of the threshold value β of variable precision rough set by fuzzy algorithms International Journal of Approximate Reasoning 52 7 2011 1056 1072
    • (2011) International Journal of Approximate Reasoning , vol.52 , Issue.7 , pp. 1056-1072
    • Huang, K.Y.1    Chang, T.H.2    Chang, T.C.3
  • 12
    • 84867583002 scopus 로고    scopus 로고
    • Minimum cost attribute reduction in decision-theoretic rough set models
    • X.Y. Jia, W.H. Liao, Z.M. Tang, and L. Shang Minimum cost attribute reduction in decision-theoretic rough set models Information Sciences 219 10 2013 151 167
    • (2013) Information Sciences , vol.219 , Issue.10 , pp. 151-167
    • Jia, X.Y.1    Liao, W.H.2    Tang, Z.M.3    Shang, L.4
  • 13
  • 16
    • 84861643215 scopus 로고    scopus 로고
    • Graded rough set model based on two universes and its properties
    • C.H. Liu, D.Q. Miao, N. Zhang, and C. Gao Graded rough set model based on two universes and its properties Knowledge-Based Systems 33 2012 65 72
    • (2012) Knowledge-Based Systems , vol.33 , pp. 65-72
    • Liu, C.H.1    Miao, D.Q.2    Zhang, N.3    Gao, C.4
  • 17
    • 84888023478 scopus 로고    scopus 로고
    • Incorporating logistic regression to decision-theoretic rough sets for classifications
    • doi:10.1016/j.ijar.2013.02.013
    • D. Liu, T.R. Li, D.C. Liang, Incorporating logistic regression to decision-theoretic rough sets for classifications, International Journal of Approximate Reasoning, http://dx.doi.org/10.1016/j.ijar.2013.02.013.
    • International Journal of Approximate Reasoning
    • Liu, D.1    Li, T.R.2    Liang, D.C.3
  • 19
    • 1642525195 scopus 로고    scopus 로고
    • Approaches to knowledge reduction based on variable precision rough set model
    • J.S. Mi, W.Z. Wu, and W.X. Zhang Approaches to knowledge reduction based on variable precision rough set model Information Sciences 159 2004 255 272
    • (2004) Information Sciences , vol.159 , pp. 255-272
    • Mi, J.S.1    Wu, W.Z.2    Zhang, W.X.3
  • 21
    • 27644576584 scopus 로고    scopus 로고
    • Granular computing, rough entropy and object extraction
    • S.K. Pal, B.U. Shankar, and P. Mitra Granular computing, rough entropy and object extraction Pattern Recognition Letters 26 16 2005 2509 2517
    • (2005) Pattern Recognition Letters , vol.26 , Issue.16 , pp. 2509-2517
    • Pal, S.K.1    Shankar, B.U.2    Mitra, P.3
  • 22
    • 78649797191 scopus 로고    scopus 로고
    • A variable precision rough set approach to the remote sensing land use/cover classification
    • X. Pan, S.Q. Zhang, H.Q. Zhang, X.D. Na, and X.F. Li A variable precision rough set approach to the remote sensing land use/cover classification Computers and Geosciences 36 12 2010 1466 1473
    • (2010) Computers and Geosciences , vol.36 , Issue.12 , pp. 1466-1473
    • Pan, X.1    Zhang, S.Q.2    Zhang, H.Q.3    Na, X.D.4    Li, X.F.5
  • 25
    • 33749667344 scopus 로고    scopus 로고
    • Rough sets: Some extensions
    • Z. Pawlak, and A. Skowron Rough sets: some extensions Information Sciences 177 1 2007 28 40
    • (2007) Information Sciences , vol.177 , Issue.1 , pp. 28-40
    • Pawlak, Z.1    Skowron, A.2
  • 27
    • 84882930737 scopus 로고    scopus 로고
    • Allocation of information granularity in optimization and decision-making models: Towards building the foundations of Granular Computing
    • W. Pedrycz Allocation of information granularity in optimization and decision-making models: towards building the foundations of Granular Computing European Journal of Operational Research 232 1 2014 137 145
    • (2014) European Journal of Operational Research , vol.232 , Issue.1 , pp. 137-145
    • Pedrycz, W.1
  • 29
    • 84885297374 scopus 로고    scopus 로고
    • Building the fundamentals of granular computing: A principle of justifiable granularity
    • W. Pedrycz, and W. Homenda Building the fundamentals of granular computing: a principle of justifiable granularity Applied Soft Computing 13 10 2013 4209 4218
    • (2013) Applied Soft Computing , vol.13 , Issue.10 , pp. 4209-4218
    • Pedrycz, W.1    Homenda, W.2
  • 30
    • 46849106744 scopus 로고    scopus 로고
    • Consistency measure, inclusion degree and fuzzy measure in decision tables
    • Y.H. Qian, J.Y. Liang, and C.Y. Dang Consistency measure, inclusion degree and fuzzy measure in decision tables Fuzzy Sets and Systems 159 18 2008 2353 2377
    • (2008) Fuzzy Sets and Systems , vol.159 , Issue.18 , pp. 2353-2377
    • Qian, Y.H.1    Liang, J.Y.2    Dang, C.Y.3
  • 32
    • 84880920491 scopus 로고    scopus 로고
    • Approximation operators on complete completely distributive lattices
    • K.Y. Qin, Z. Pei, J.L. Yang, and Y. Xu Approximation operators on complete completely distributive lattices Information Sciences 247 2013 123 130
    • (2013) Information Sciences , vol.247 , pp. 123-130
    • Qin, K.Y.1    Pei, Z.2    Yang, J.L.3    Xu, Y.4
  • 33
    • 18844401650 scopus 로고    scopus 로고
    • A new customized document categorization scheme using rough membership
    • S. Singh, and L. Dey A new customized document categorization scheme using rough membership Applied Soft Computing 5 4 2005 373 390
    • (2005) Applied Soft Computing , vol.5 , Issue.4 , pp. 373-390
    • Singh, S.1    Dey, L.2
  • 35
    • 80055039558 scopus 로고    scopus 로고
    • Modeling rough granular computing based on approximation spaces
    • A. Skowron, J. Stepaniuk, and R. Swiniarski Modeling rough granular computing based on approximation spaces Information Sciences 184 1 2012 20 43
    • (2012) Information Sciences , vol.184 , Issue.1 , pp. 20-43
    • Skowron, A.1    Stepaniuk, J.2    Swiniarski, R.3
  • 37
    • 67349149665 scopus 로고    scopus 로고
    • Research of reduct features in the variable precision rough set model
    • J.Y. Wang, and J. Zhou Research of reduct features in the variable precision rough set model Neurocomputing 72 2009 2643 2648
    • (2009) Neurocomputing , vol.72 , pp. 2643-2648
    • Wang, J.Y.1    Zhou, J.2
  • 38
    • 0011157035 scopus 로고
    • Comparison of the probabilistic approximate classification and the fuzzy set model
    • S.K.M. Wong, and W. Ziarko Comparison of the probabilistic approximate classification and the fuzzy set model Fuzzy Sets and Systems 21 1987 357 362
    • (1987) Fuzzy Sets and Systems , vol.21 , pp. 357-362
    • Wong, S.K.M.1    Ziarko, W.2
  • 39
    • 78649930823 scopus 로고    scopus 로고
    • Optimizing model for land use/land cover retrieval from remote sensing imagery based on variable precision rough sets
    • F. Xie, Y. Lin, and W.W. Ren Optimizing model for land use/land cover retrieval from remote sensing imagery based on variable precision rough sets Ecological Modelling 222 2 2011 232 240
    • (2011) Ecological Modelling , vol.222 , Issue.2 , pp. 232-240
    • Xie, F.1    Lin, Y.2    Ren, W.W.3
  • 40
    • 77953871904 scopus 로고    scopus 로고
    • Dynamic risk management in petroleum project investment based on a variable precision rough set model
    • G. Xie, W.Y. Yue, S.Y. Wang, and K.K. Lai Dynamic risk management in petroleum project investment based on a variable precision rough set model Technological Forecasting and Social Change 77 6 2010 891 901
    • (2010) Technological Forecasting and Social Change , vol.77 , Issue.6 , pp. 891-901
    • Xie, G.1    Yue, W.Y.2    Wang, S.Y.3    Lai, K.K.4
  • 43
    • 0036530141 scopus 로고    scopus 로고
    • Inclusion degree: A perspective on measures for rough set data analysis
    • Z.B. Xu, J.Y. Liang, C.Y. Dang, and K.S. Chin Inclusion degree: a perspective on measures for rough set data analysis Information Sciences 141 3-4 2002 227 236
    • (2002) Information Sciences , vol.141 , Issue.34 , pp. 227-236
    • Xu, Z.B.1    Liang, J.Y.2    Dang, C.Y.3    Chin, K.S.4
  • 44
    • 84883465730 scopus 로고    scopus 로고
    • Test cost sensitive multigranulation rough set: Model and minimal cost selection
    • X.B. Yang, Y.S. Qi, X.N. Song, J.Y. Yang, Test cost sensitive multigranulation rough set: Model and minimal cost selection, Information Sciences 250 (2013) 184-199.
    • (2013) Information Sciences , vol.250 , pp. 184-199
    • Yang, X.B.1    Qi, Y.S.2    Song, X.N.3    Yang, J.Y.4
  • 45
    • 81855165031 scopus 로고    scopus 로고
    • Applying variable precision rough set model for clustering student suffering study's anxiety
    • I.T.R. Yanto, P. Vitasari, T. Herawan, and M.M. Deris Applying variable precision rough set model for clustering student suffering study's anxiety Expert Systems with Applications 39 1 2012 452 459
    • (2012) Expert Systems with Applications , vol.39 , Issue.1 , pp. 452-459
    • Yanto, I.T.R.1    Vitasari, P.2    Herawan, T.3    Deris, M.M.4
  • 46
    • 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 International Journal of Approximate Reasoning 49 2 2008 253 254
    • (2008) International Journal of Approximate Reasoning , vol.49 , Issue.2 , pp. 253-254
    • Yao, J.T.1    Yao, Y.Y.2    Ziarko, W.3
  • 48
    • 0035155557 scopus 로고    scopus 로고
    • Information granulation and rough set approximation
    • Y.Y. Yao Information granulation and rough set approximation International Journal of Intelligent Systems 16 1 2001 87 104
    • (2001) International Journal of Intelligent Systems , vol.16 , Issue.1 , pp. 87-104
    • Yao, Y.Y.1
  • 50
    • 79251593234 scopus 로고    scopus 로고
    • The superiority of three-way decision in probabilistic rough set models
    • Y.Y. Yao The superiority of three-way decision in probabilistic rough set models Information Sciences 181 2011 1080 1096
    • (2011) Information Sciences , vol.181 , pp. 1080-1096
    • Yao, Y.Y.1
  • 51
    • 0001375356 scopus 로고    scopus 로고
    • Two views of the theory of rough sets in finite universes
    • Y.Y. Yao Two views of the theory of rough sets in finite universes International Journal of Approximate Reasoning 15 4 1996 291 317
    • (1996) International Journal of Approximate Reasoning , vol.15 , Issue.4 , pp. 291-317
    • Yao, Y.Y.1
  • 55
    • 84888044158 scopus 로고    scopus 로고
    • An automatic method to determine the number of clusters using decision-theoretic rough set
    • H. Yu, Z.G. Liu, G.Y. Wang, An automatic method to determine the number of clusters using decision-theoretic rough set, International Journal of Approximate Reasoning, http://dx.doi.org/10.1016/j.ijar.2013.03.018.
    • International Journal of Approximate Reasoning
    • Yu, H.1    Liu, Z.G.2    Wang, G.Y.3
  • 56
    • 1642469977 scopus 로고    scopus 로고
    • Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
    • L.A. Zadeh Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic Fuzzy Sets and Systems 90 2 1997 111 127
    • (1997) Fuzzy Sets and Systems , vol.90 , Issue.2 , pp. 111-127
    • Zadeh, L.A.1
  • 57
    • 84878954740 scopus 로고    scopus 로고
    • Variable-precision-dominance-based rough set approach to interval-valued information systems
    • H.Y. Zhang, Y. Leung, and L. Zhou Variable-precision-dominance-based rough set approach to interval-valued information systems Information Sciences 244 2013 75 91
    • (2013) Information Sciences , vol.244 , pp. 75-91
    • Zhang, H.Y.1    Leung, Y.2    Zhou, L.3
  • 59
    • 84864717266 scopus 로고    scopus 로고
    • A general frame for intuitionistic fuzzy rough sets
    • X.H. Zhang, B. Zhou, and P. Li A general frame for intuitionistic fuzzy rough sets Information Sciences 216 2012 34 49
    • (2012) Information Sciences , vol.216 , pp. 34-49
    • Zhang, X.H.1    Zhou, B.2    Li, P.3
  • 60
    • 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 International Journal of Approximate Reasoning 54 8 2013 1130 1148
    • (2013) International Journal of Approximate Reasoning , vol.54 , Issue.8 , pp. 1130-1148
    • Zhang, X.Y.1    Miao, D.Q.2
  • 61
    • 84863033815 scopus 로고    scopus 로고
    • Rough set model based on logical difference operation of precision and grade and its algorithms
    • (in Chinese)
    • X.Y. Zhang, Z.W. Mo, and F. Xiong Rough set model based on logical difference operation of precision and grade and its algorithms Systems Engineering-Theory & Practice 31 12 2011 2394 2399 (in Chinese)
    • (2011) Systems Engineering-Theory & Practice , vol.31 , Issue.12 , pp. 2394-2399
    • Zhang, X.Y.1    Mo, Z.W.2    Xiong, F.3
  • 63
    • 72449176853 scopus 로고    scopus 로고
    • Rough set model based on logical or operation of precision and grade
    • (in Chinese)
    • X.Y. Zhang, F. Xiong, and Z.W. Mo Rough set model based on logical OR operation of precision and grade Pattern Recognition and Artificial Intelligence 22 5 2009 697 703 (in Chinese)
    • (2009) Pattern Recognition and Artificial Intelligence , vol.22 , Issue.5 , pp. 697-703
    • Zhang, X.Y.1    Xiong, F.2    Mo, Z.W.3
  • 64
    • 84897094490 scopus 로고    scopus 로고
    • Logical and operation model of variable precision lower approximation operator and grade upper approximation operator
    • (in Chinese)
    • X.Y. Zhang, F. Xiong, Z.W. Mo, and W. Cheng Logical AND operation model of variable precision lower approximation operator and grade upper approximation operator Journal of Computer Applications 30 8 2010 1991 1994 (in Chinese)
    • (2010) Journal of Computer Applications , vol.30 , Issue.8 , pp. 1991-1994
    • Zhang, X.Y.1    Xiong, F.2    Mo, Z.W.3    Cheng, W.4
  • 65
    • 84888016689 scopus 로고    scopus 로고
    • Multi-class decision-theoretic rough sets
    • doi:10.1016/j.ijar.2013.04.006
    • B. Zhou, Multi-class decision-theoretic rough sets, International Journal of Approximate Reasoning, http://dx.doi.org/10.1016/j.ijar.2013.04.006.
    • International Journal of Approximate Reasoning
    • Zhou, B.1
  • 66
    • 79960104935 scopus 로고    scopus 로고
    • β-Interval attribute reduction in variable precision rough set model
    • J. Zhou, and D.Q. Miao β-Interval attribute reduction in variable precision rough set model Soft Computing 15 8 2011 1643 1656
    • (2011) Soft Computing , vol.15 , Issue.8 , pp. 1643-1656
    • Zhou, J.1    Miao, D.Q.2
  • 67
    • 33845963394 scopus 로고    scopus 로고
    • Topological approaches to covering rough sets
    • W. Zhu Topological approaches to covering rough sets Information Sciences 177 6 2007 1499 1508
    • (2007) Information Sciences , vol.177 , Issue.6 , pp. 1499-1508
    • Zhu, W.1


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