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.
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References
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.
Zadeh L. Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems, 1997, 90(2): 111–127.
Pedrycz W. Relational and directional aspects in the construction of information granules. IEEE Trans. Systems, Man, and Cybernetics, Part A: Systems and Humans, 2002, 32(5): 605–614.
Pedrycz W, Bargiela A. Granular clustering: a granular signature of data. IEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics, 2002, 32(2): 212–224.
Lin T Y. Granular computing: Practices, theories, and future directions. In Encyclopedia of Complexity and Systems Science, Meyers R A (ed.), Springer, 2009, pp.4339-4355.
Lin T Y. Granular computing I: The concept of granulation and its formal model. Int. J. Granular Computing, Rough Sets and Intell. Systems, 2009, 1(1): 21–42.
Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, 1991.
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)
Yang X B, Zhang M, Dou H L, Yang J Y. Neighborhood systems-based rough sets in incomplete information system. Knowledge-Based Systems, 2011, 24(6): 858–867.
Zhu W. Topological approaches to covering rough sets. Information Sciences, 2007, 177(6): 1499–1508.
Zhu W. Relationship between generalized rough sets based on binary relation and covering. Information Sciences, 2009, 179(3): 210–225.
Zhu W, Wang F Y. On three types of covering-based rough sets. IEEE Trans. Knowledge and Data Engineering, 2007, 19(8): 1131–1144.
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.
Qian Y H, Liang J Y, Dang C Y. Incomplete multigranulation rough set. IEEE Trans. Systems, Man, and Cybernetics, Part A: Systems and Humans, 2010, 40(2): 420–431.
Qian Y H, Liang J Y, Yao Y Y, Dang C Y. MGRS: A multigranulation rough set. Information Sciences, 2010, 180(6): 949–970.
Qian Y H, Liang J Y, Wei W. Pessimistic rough decision. Journal of Zhejiang Ocean University (Natural Science), 2010, 29(5): 440–449.
Yang X B, Song X N, Dou H L, Yang J Y. Multi-granulation rough set: From crisp to fuzzy case. Annals of Fuzzy Mathematics and Informatics, 2011, 1(1): 55–70.
Wu W Z, Leung Y. Theory and applications of granular la- belled partitions in multi-scale decision tables. Information Sciences, 2011, 181(18): 3878–3897.
Qian Y H, Liang J Y, Pedrycz W, Dang C Y. Positive approximation: An accelerator for attribute reduction in rough set theory. Artificial Intelligence, 2010, 174(9–10): 597–618.
Yao Y Y. Information granulation and rough set approximation. Int. J. Intell. Syst., 2001, 16(1): 87–104.
Wang G Y, Zhang Q H. Uncertainty of rough sets in different knowledge granularities. Chinese Journal of Computers, 2008, 31(9): 1588–1598. (In Chinese)
Huang B, He X, Zhou X Z. Rough entropy based on generalized rough sets covering reduction. Journal of Software, 2004, 15(2): 215-220. (In Chinese)
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.
Zhang Q H,Wang G Y, Liu X Q. Hierarchical structure analysis of fuzzy quotient space. Pattern Recognition and Artificial Intelligence, 2008, 21(5): 627–6434. (In Chinese)
Zhang Q H, Wang G Y. The uncertainty measure of hierarchical quotient space structure. Mathematical Problems in Engineering, 2011, Article No. 513195.
Liang J Y, Chin K S, Dang C Y. A new method for measuring uncertainty and fuzziness in rough set theory. Int. J. General Systems, 2002, 31(4): 331–342.
Liang J Y, Shi Z Z. The information entropy, rough entropy and knowledge granulation in rough set theory. Int. J. Uncertainty Fuzziness and Knowledge-Based Systems, 2004, 12(1): 37–46.
Qian Y H, Liang J Y, Dang C Y. Knowledge structure, knowledge granulation and knowledge distance in a knowledge base. Int. J. Approximation Reasoning, 2009, 50(1): 174–188.
Qian Y H, Liang J Y, Wu W Z, Dang C Y. Information granularity in fuzzy binary GrC model. IEEE Trans. Fuzzy Systems, 2011, 19(2): 253–264.
Liu G L, Sai Y. A comparison of two types of rough sets induced by coverings. Int. J. Approximation Reasoning, 2009, 50(3): 521–528.
Leung Y, Li D Y. Maximal consistent block technique for rule acquisition in incomplete information systems. Information Sciences, 2003, 153(1): 85–106.
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This work is supported by the National Natural Science Foundation of China under Grant Nos. 61100116, 61103133, the Natural Science Foundation of Jiangsu Province of China under Grant No. BK2011492, the Natural Science Foundation of Jiangsu Higher Education Institutions of China under Grant No. 11KJB520004, the Postdoctoral Science Foundation of China under Grant No. 20100481149, and the Postdoctoral Science Foundation of Jiangsu Province of China under Grant No. 1101137C.
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Yang, XB., Qian, YH. & Yang, JY. Hierarchical Structures on Multigranulation Spaces. J. Comput. Sci. Technol. 27, 1169–1183 (2012). https://doi.org/10.1007/s11390-012-1294-0
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DOI: https://doi.org/10.1007/s11390-012-1294-0