Hierarchical Structures on Multigranulation Spaces

Though many hierarchical structures have been proposed to analyze the finer or coarser relationships between two granulation spaces, these structures can only be used to compare the single granulation spaces. However, it should be noticed that the concept of multigranulation plays a fundamental role...

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Published inJournal of computer science and technology Vol. 27; no. 6; pp. 1169 - 1183
Main Author 杨习贝 钱宇华 杨静宇
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.11.2012
Springer Nature B.V
School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China%Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education Taiyuan 030006, China
School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China%School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China
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ISSN1000-9000
1860-4749
DOI10.1007/s11390-012-1294-0

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Abstract Though many hierarchical structures have been proposed to analyze the finer or coarser relationships between two granulation spaces, these structures can only be used to compare the single granulation spaces. However, it should be noticed that the concept of multigranulation plays a fundamental role in the development of granular computing. Therefore, the comparison between two multigranulation spaces has become a necessity. To solve such problem, two types of the multigranulation spaces are considered: one is the partition-based multigranulation space, the other is the covering-based multigranulation space. Three different hierarchical structures are then proposed on such two multigranulation spaces, respectively. Not only the properties about these hierarchical structures are discussed, but also the relationships between these hierarchical structures and the multigranulation rough sets are deeply investigated. It is shown that the first hierarchical structure is consistent with the monotonic varieties of optimistic multigranulation rough set, and the second hierarchical structure is consistent to the monotonic varieties of pessimistic multigranulation rough set, the third hierarchical structure is consistent to the monotonic varieties of both optimistic and pessimistic multigranulation rough sets.
AbstractList Though many hierarchical structures have been proposed to analyze the finer or coarser relationships between two granulation spaces, these structures can only be used to compare the single granulation spaces. However, it should be noticed that the concept of multigranulation plays a fundamental role in the development of granular computing. Therefore, the comparison between two multigranulation spaces has become a necessity. To solve such problem, two types of the multigranulation spaces are considered: one is the partition-based multigranulation space, the other is the covering-based multigranulation space. Three different hierarchical structures are then proposed on such two multigranulation spaces, respectively. Not only the properties about these hierarchical structures are discussed, but also the relationships between these hierarchical structures and the multigranulation rough sets are deeply investigated. It is shown that the first hierarchical structure is consistent with the monotonic varieties of optimistic multigranulation rough set, and the second hierarchical structure is consistent to the monotonic varieties of pessimistic multigranulation rough set, the third hierarchical structure is consistent to the monotonic varieties of both optimistic and pessimistic multigranulation rough sets.
Though many hierarchical structures have been proposed to analyze the finer or coarser relationships between two granulation spaces, these structures can only be used to compare the single granulation spaces. However, it should be noticed that the concept of multigranulation plays a fundamental role in the development of granular computing. Therefore, the comparison between two multigranulation spaces has become a necessity. To solve such problem, two types of the multigranulation spaces are considered: one is the partition-based multigranulation space, the other is the covering-based multigranulation space. Three different hierarchical structures are then proposed on such two multigranulation spaces, respectively. Not only the properties about these hierarchical structures are discussed, but also the relationships between these hierarchical structures and the multigranulation rough sets are deeply investigated. It is shown that the first hierarchical structure is consistent with the monotonic varieties of optimistic multigranulation rough set, and the second hierarchical structure is consistent to the monotonic varieties of pessimistic multigranulation rough set, the third hierarchical structure is consistent to the monotonic varieties of both optimistic and pessimistic multigranulation rough sets.[PUBLICATION ABSTRACT]
Though many hierarchical structures have been proposed to analyze the finer or coarser relationships between two granulation spaces, these structures can only be used to compare the single granulation spaces. However, it should be noticed that the concept of multigranulation plays a fundamental role in the development of granular computing. Therefore, the comparison between two multigranulation spaces has become a necessity. To solve such problem, two types of the multigranulation spaces are considered: one is the partition-based multigranulation space, the other is the covering-based multigranulation space. Three different hierarchical structures are then proposed on such two multigranulation spaces, respectively. Not only the properties about these hierarchical structures are discussed, but also the relationships between these hierarchical structures and the multigranulation rough sets are deeply investigated. It is shown that the first hierarchical structure is consistent with the monotonic varieties of optimistic multigranulation rough set, and the second hierarchical structure is consistent to the monotonic varieties of pessimistic multigranulation rough set, the third hierarchical structure is consistent to the monotonic varieties of both optimistic and pessimistic multigranulation rough sets.
Author 杨习贝 钱宇华 杨静宇
AuthorAffiliation School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education Taiyuan 030006, China School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China
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Keywords multigranulation rough set
multicovering rough set
multigranulation space
hierarchical structure
Language English
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Notes hierarchical structure, multicovering rough set, multigranulation rough set, multigranulation space
Though many hierarchical structures have been proposed to analyze the finer or coarser relationships between two granulation spaces, these structures can only be used to compare the single granulation spaces. However, it should be noticed that the concept of multigranulation plays a fundamental role in the development of granular computing. Therefore, the comparison between two multigranulation spaces has become a necessity. To solve such problem, two types of the multigranulation spaces are considered: one is the partition-based multigranulation space, the other is the covering-based multigranulation space. Three different hierarchical structures are then proposed on such two multigranulation spaces, respectively. Not only the properties about these hierarchical structures are discussed, but also the relationships between these hierarchical structures and the multigranulation rough sets are deeply investigated. It is shown that the first hierarchical structure is consistent with the monotonic varieties of optimistic multigranulation rough set, and the second hierarchical structure is consistent to the monotonic varieties of pessimistic multigranulation rough set, the third hierarchical structure is consistent to the monotonic varieties of both optimistic and pessimistic multigranulation rough sets.
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PublicationPlace Boston
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PublicationTitle Journal of computer science and technology
PublicationTitleAbbrev J. Comput. Sci. Technol
PublicationTitleAlternate Journal of Computer Science and Technology
PublicationTitle_FL Journal of Computer Science and Technology
PublicationYear 2012
Publisher Springer US
Springer Nature B.V
School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China%Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education Taiyuan 030006, China
School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China%School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China
Publisher_xml – name: Springer US
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– name: School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China%School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China
– name: School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China
– name: School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China%Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education Taiyuan 030006, China
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ZadehLToward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logicFuzzy Sets and Systems199790211112714862560988.0304010.1016/S0165-0114(97)00077-8
LeungYLiDYMaximal consistent block technique for rule acquisition in incomplete information systemsInformation Sciences200315318510619823571069.6860510.1016/S0020-0255(03)00061-6
LiangJYShiZZThe information entropy, rough entropy and knowledge granulation in rough set theoryInt. J. Uncertainty Fuzziness and Knowledge-Based Systems2004121374620529871074.6807210.1142/S0218488504002631
ZhangQHWangGYLiuXQHierarchical structure analysis of fuzzy quotient spacePattern Recognition and Artificial Intelligence20082156276434In Chinese
PedryczWBargielaAGranular clustering: a granular signature of dataIEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics200232221222410.1109/3477.990878
QianYHLiangJYYaoYYDangCYMGRS: A multigranulation rough setInformation Sciences2010180694997025783571185.6869510.1016/j.ins.2009.11.023
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QianYHLiangJYWuWZDangCYInformation granularity in fuzzy binary GrC modelIEEE Trans. Fuzzy Systems201119225326410.1109/TFUZZ.2010.2095461
Zhang Q H, Wang G Y. The uncertainty measure of hierarchical quotient space structure. Mathematical Problems in Engineering, 2011, Article No. 513195.
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QianYHLiangJYWeiWPessimistic rough decisionJournal of Zhejiang Ocean University (Natural Science)2010295440449
YangXBSongXNDouHLYangJYMulti-granulation rough set: From crisp to fuzzy caseAnnals of Fuzzy Mathematics and Informatics20111155702783760
ZhuWTopological approaches to covering rough setsInformation Sciences200717761499150823071741109.6812110.1016/j.ins.2006.06.009
Zhang Q H,Wang G Y, Hu J, Teng H T.Approximation partition spaces of covering space.In Proc. the 2007 IEEE Int. Conf. Granular Computing, November 2007, pp.199-204.
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ZhuWRelationship between generalized rough sets based on binary relation and coveringInformation Sciences2009179321022524730131163.6833910.1016/j.ins.2008.09.015
YaoYYInformation granulation and rough set approximationInt. J. Intell. Syst.2001161871040969.6807910.1002/1098-111X(200101)16:1<87::AID-INT7>3.0.CO;2-S
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WangGYZhangQHUncertainty of rough sets in different knowledge granularitiesChinese Journal of Computers200831915881598249306710.3724/SP.J.1016.2008.01588In Chinese
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HuangBHeXZhouXZRough entropy based on generalized rough sets covering reductionJournal of Software200415221522020414661107.68478In Chinese
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QianYHLiangJYDangCYIncomplete multigranulation rough setIEEE Trans. Systems, Man, and Cybernetics, Part A: Systems and Humans201040242043110.1109/TSMCA.2009.2035436
Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, 1991.
WuWZLeungYTheory and applications of granular la- belled partitions in multi-scale decision tablesInformation Sciences201118118387838971242.6825810.1016/j.ins.2011.04.047
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Y Leung (1294_CR31) 2003; 153
GL Liu (1294_CR30) 2009; 50
XB Yang (1294_CR17) 2011; 1
W Pedrycz (1294_CR3) 2002; 32
WZ Wu (1294_CR18) 2011; 181
XB Yang (1294_CR9) 2011; 24
YH Qian (1294_CR16) 2010; 29
YH Qian (1294_CR15) 2010; 180
1294_CR13
YY Yao (1294_CR20) 2001; 16
W Zhu (1294_CR12) 2007; 19
YH Qian (1294_CR19) 2010; 174
W Zhu (1294_CR10) 2007; 177
YH Qian (1294_CR29) 2011; 19
W Pedrycz (1294_CR4) 2002; 32
W Zhu (1294_CR11) 2009; 179
YH Qian (1294_CR14) 2010; 40
B Huang (1294_CR22) 2004; 15
YH Qian (1294_CR28) 2009; 50
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JY Liang (1294_CR26) 2002; 31
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L Zadeh (1294_CR2) 1997; 90
References_xml – reference: PedryczWRelational and directional aspects in the construction of information granulesIEEE Trans. Systems, Man, and Cybernetics, Part A: Systems and Humans200232560561410.1109/TSMCA.2002.804790
– reference: LiangJYChinKSDangCYA new method for measuring uncertainty and fuzziness in rough set theoryInt. J. General Systems200231433134219207451010.9400410.1080/0308107021000013635
– reference: QianYHLiangJYWuWZDangCYInformation granularity in fuzzy binary GrC modelIEEE Trans. Fuzzy Systems201119225326410.1109/TFUZZ.2010.2095461
– reference: ZhangQHWangGYLiuXQHierarchical structure analysis of fuzzy quotient spacePattern Recognition and Artificial Intelligence20082156276434In Chinese
– reference: ZhuWRelationship between generalized rough sets based on binary relation and coveringInformation Sciences2009179321022524730131163.6833910.1016/j.ins.2008.09.015
– reference: WangGYZhangQHUncertainty of rough sets in different knowledge granularitiesChinese Journal of Computers200831915881598249306710.3724/SP.J.1016.2008.01588In Chinese
– reference: Qian Y H, Liang J Y. Rough set method based on multigranulations. In Proc. the 5th IEEE Int. Conf. Cognitive Informatics, July 2006, pp.297-304.
– reference: Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, 1991.
– reference: Zhang L, Zhang B. Theory and Application of Problem Solving: Theory and Application of Granular Computing in Quotient Space. Tsinghua University Press, 2007. (In Chinese)
– reference: QianYHLiangJYDangCYIncomplete multigranulation rough setIEEE Trans. Systems, Man, and Cybernetics, Part A: Systems and Humans201040242043110.1109/TSMCA.2009.2035436
– reference: Zhang Q H, Wang G Y. The uncertainty measure of hierarchical quotient space structure. Mathematical Problems in Engineering, 2011, Article No. 513195.
– reference: LiangJYShiZZThe information entropy, rough entropy and knowledge granulation in rough set theoryInt. J. Uncertainty Fuzziness and Knowledge-Based Systems2004121374620529871074.6807210.1142/S0218488504002631
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– reference: ZadehLToward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logicFuzzy Sets and Systems199790211112714862560988.0304010.1016/S0165-0114(97)00077-8
– reference: HuangBHeXZhouXZRough entropy based on generalized rough sets covering reductionJournal of Software200415221522020414661107.68478In Chinese
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– reference: QianYHLiangJYYaoYYDangCYMGRS: A multigranulation rough setInformation Sciences2010180694997025783571185.6869510.1016/j.ins.2009.11.023
– reference: ZhuWWangFYOn three types of covering-based rough setsIEEE Trans. Knowledge and Data Engineering20071981131114410.1109/TKDE.2007.1044
– reference: LeungYLiDYMaximal consistent block technique for rule acquisition in incomplete information systemsInformation Sciences200315318510619823571069.6860510.1016/S0020-0255(03)00061-6
– reference: Zhang Q H,Wang G Y, Hu J, Teng H T.Approximation partition spaces of covering space.In Proc. the 2007 IEEE Int. Conf. Granular Computing, November 2007, pp.199-204.
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– reference: YangXBSongXNDouHLYangJYMulti-granulation rough set: From crisp to fuzzy caseAnnals of Fuzzy Mathematics and Informatics20111155702783760
– reference: LinTYGranular computing I: The concept of granulation and its formal modelInt. J. Granular Computing, Rough Sets and Intell. Systems200911214210.1504/IJGCRSIS.2009.026723
– reference: LiuGLSaiYA comparison of two types of rough sets induced by coveringsInt. J. Approximation Reasoning200950352152825190311191.6868910.1016/j.ijar.2008.11.001
– reference: ZhuWTopological approaches to covering rough setsInformation Sciences200717761499150823071741109.6812110.1016/j.ins.2006.06.009
– reference: PedryczWBargielaAGranular clustering: a granular signature of dataIEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics200232221222410.1109/3477.990878
– reference: YaoYYInformation granulation and rough set approximationInt. J. Intell. Syst.2001161871040969.6807910.1002/1098-111X(200101)16:1<87::AID-INT7>3.0.CO;2-S
– reference: von Neumann J. The general and logical theory of automata. In Cerebral Mechanisms in Behavior — The Hixon Symposium, Jeffress L A (ed.), John Wiley & Sons, 1951, pp.1-41.
– reference: QianYHLiangJYPedryczWDangCYPositive approximation: An accelerator for attribute reduction in rough set theoryArtificial Intelligence20101749–1059761826665151205.6831010.1016/j.artint.2010.04.018
– reference: YangXBZhangMDouHLYangJYNeighborhood systems-based rough sets in incomplete information systemKnowledge-Based Systems201124685886710.1016/j.knosys.2011.03.007
– reference: WuWZLeungYTheory and applications of granular la- belled partitions in multi-scale decision tablesInformation Sciences201118118387838971242.6825810.1016/j.ins.2011.04.047
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Snippet Though many hierarchical structures have been proposed to analyze the finer or coarser relationships between two granulation spaces, these structures can only...
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SubjectTerms Analysis
Approximation
Artificial Intelligence
Coarsening
Computation
Computer Science
Covering
Data Structures and Information Theory
Fuzzy sets
Granulation
Hierarchies
Information systems
Information Systems Applications (incl.Internet)
Knowledge
Neighborhoods
Regular Paper
Set theory
Software Engineering
Studies
Theory of Computation
分层结构
单调
品种
层次结构分析
空间
粗糙集
结构层
造粒
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Title Hierarchical Structures on Multigranulation Spaces
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