[1]LIANG Meishe,MI Jusheng,ZHAO Tianna.Generalized dominance-based multi-granularity intuitionistic fuzzy rough set and acquisition of decision rules[J].CAAI Transactions on Intelligent Systems,2017,12(6):883-888.[doi:10.11992/tis.201706034]
Copy

Generalized dominance-based multi-granularity intuitionistic fuzzy rough set and acquisition of decision rules

References:
[1] ATANASSOV K T. Intuitionistic fuzzy sets[M]. Heidelberg, German: Springer-Verlag Telos, 1999: 1-324.
[2] ATANASSOV K T. Intuitionistic fuzzy sets[J]. Fuzzy sets system, 1986, 20(1): 87-96.
[3] ATANASSOV K T. New operations defined over the intuitionistic fuzzy sets[J]. Fuzzy sets system, 1994, 61(2): 137-142.
[4] ZADEH L A. Fuzzy sets[J]. Information and control, 1965(8): 338-353.
[5] JENA S.P, GHOSH S.K. Intuitionistic fuzzy rough sets[J]. Notes on intuitionistic fuzzy sets, 2002, 8(1): 1-18.
[6] SAMAMTA S K, MONDAL T K. Intuitionistic fuzzy rough sets and rough intuitionistic fuzzy sets[J]. Journal of fuzzy mathemaics, 2001, 9(6): 561-582.
[7] PAWLAK Z. Rough sets[J]. International Journal of computer and information sciences, 1982, 11(5): 341-356.
[8] PAWLAK. Z. Rough sets: some extensions[J]. Information sciences, 2007, 177(1): 3-27.
[9] QIAN Y H, LIANG J Y. Rough set method based on multi-ganulations[C]//Proceedings of the 5th IEEE International Conference on Cognitive Informatics. Piscataway, 2006: 297-304.
[10] QIAN Y H, LIANG J Y, YAO Y Y, et al. MGRS: a multi-granulati on rough set[J]. Information sciences, 2010, 180(6): 949-970.
[11] QIAN Y H, LIANG J Y, Wei W. Pessimistic rough decision[J]. Journal of ZheJiang ocean university: natural science, 2010, 29(5): 440-449.
[12] QIAN Y H, LIANG J Y, DANG C Y. Incomplete multi-granulation rough set[J]. IEEE transactions on systems, man and cybernetics, part a : systems and humans, 2010, 40(2): 420-431.
[13] 桑妍丽, 钱宇华. 一种悲观多粒度粗糙集中的粒度约简算法[J]. 模式识别与人工智能, 2012, 25(3): 361-366.
SANG Yanli, QING Yuhua. A granular space reduction approach to pessimistic multi-granulation rough sets[J]. Pattern recognition and artificial intelligence, 2012, 25(3): 361-366.
[14] ZHANG M, XU W Y, YANG X B, et al. Incomplete variable multigranulation rough sets decision[J]. Applied mathematics and information sciences, 2014, 8(3): 1159-1166.
[15] XU W H, SUN W X, ZHANG X Y, et al. Multiple granulation rough set approach to ordered information systems[J]. International journal of general systems, 2012, 41(5): 475-501.
[16] YANG X B, SONG X N, DOU H L, et al. Multigranulation rough set: from crisp to fuzzy case[J]. Analyses of fuzzy mathematics and informatics, 2011, 1(1): 55-70.
[17] LIN G P, QIAN Y H, LI J J. NMGRS: neighborhood-based multigranulation rough sets[J]. International journal of approximate reasonining, 2012, 53(7): 1080-1093.
[18] QIAN Y H, ZHANG H, SANG Y L, et al. Multigranulation decision-theoretic rough sets[J]. International journal of approximate reasoning, 2014, 55(1): 225-237.
[19] GRECO S, MATARAZZO B, SLOWINSKI R. Rough sets theory for multicriteria decision analysis[J]. European journal of operational research, 2001, 129(1): 1-47.
[20] GRECO S, MATARAZZO B, SLOWINSKI R. Fuzzy rough sets and multiple-premise gradual decision rules[J]. International journal of approx- imate reasoning, 2006, 41(2): 179-211.
[21] 翟永健, 张宏. 优势关系多粒度粗糙模糊集及决策规则获取[J]. 江苏大学学报: 自然科学版, 2012, 33(3): 310-315.
ZHAI Yongjian, ZHANG Hong, Dominance based multigranulation rough fuzzy sets and acquisition of decision rules[J]. Journal of Jiangsu university: natural science edition, 2012, 33(3): 310-315.
[22] XU Z S. Intuitionistic preference relations and their application in group decision making[J]. Information sciences, 2007, 177(11): 2363-2379.
[23] RAHMAN S. On cuts of Atanassov’s intuitionistic fuzzy sets with respect to fuzzy connectives[J]. Information sciences, 2016, 340-341(1): 262-278.
[24] KLIR G J, YUAN B. Fuzzy sets and fuzzy logic: theory and applications[M]. 5 th ed. New Delhi, India: Prentice Hall of India Private limited, 2008: 1-591.
Similar References:

Memo

-

Last Update: 2018-01-03

Copyright © CAAI Transactions on Intelligent Systems