计算机科学 ›› 2018, Vol. 45 ›› Issue (2): 152-156.doi: 10.11896/j.issn.1002-137X.2018.02.027
史进玲,张倩倩,徐久成
SHI Jin-ling, ZHANG Qian-qian and XU Jiu-cheng
摘要： 粒计算理论从多个角度、多个不同的粒度层次出发,对不确定、不精确或复杂的问题进行求解,现已成为人工智能领域研究的一种重要方法。针对决策系统属性约简与高效决策的粒度选择问题,分析了多粒度决策系统中信息粒与粒度划分的概念,定义了粒化度量和粒结构关于对象的粒化粗糙度,能够准确地反映决策系统中不同粒结构下的知识粒度大小。为弥补传统决策系统约简往往只考虑基于论域属性约简的缺陷,讨论了基于对象的局部约简方法,提出了基于论域和对象的决策系统最优粒度选择约简算法,并结合实例验证了该算法的有效性。
| [1] ZADEH L A.Fuzzy sets and information granularity[J].Advances in Fuzzy Set Theory and Application,1979,79(1):3-18. [2] HOBBS J R.Granularity[C]∥Proceedings of the Ninth International Joint Conference on Artificial Intelligence.Los Angeles:1985:432-435. [3] ZADEH L A.Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic[J].Fuzzy Sets and Systems,1997,90(90):111-127. [4] LIN T Y.Granular Computing:From Rough Sets and Neighborhood Systems to Information Granulation and Computing in Words[C]∥Proc.of the European Congress on Intelligent Techniques and Soft Computing.Aachen,Germany,1997:1602-1606. [5] LIN T Y.Granular Computing:Practices,Theories,and Future Directions[M].New York:Springer,2012. [6] YAO Y.A triarchic theory of granular computing[J].Granular Computing,2016,1(2):145-157. [7] YAO Y,SHE Y.Rough set models in multigranulation spaces[J].Information Sciences An International Journal,2016,327(C):40-56. [8] LIN G,LIANG J,QIAN Y,et al.A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems[J].Knowledge-Based Systems,2016,91(C):102-113. [9] WANG X,LIU X,ZHANG L.A rapid fuzzy rule clusteringmethod based on granular computing[J].Applied Soft Computing,2014,24(24):534-542. [10] CHENG S T,XU C F,DAN H W.Decreasing privacy preserving data mining based on granular computing[J].Application Research of Computers,2015,2(11):3264-3268. [11] CHEN J,WU D,ZHANG J.Distributed Simulation System Hie-rarchical Design Model Based on Quotient Space Granular Computation[J].Acta Automatica Sinica,2010,36(7):923-930. [12] WILKE G,PORTMANN E.Granular computing as a basis of human-data interaction:a cognitive cities use case[J].Granular Computing,2016,1(3):181-197. [13] YAO Y.The two sides of the theory of rough sets[J].Know-ledge-Based Systems,2015,80(1):67-77. [14] 张文修.信息系统与知识发现[M].北京:科学出版社,2003. [15] QIAN Y,LIANG J,YAO Y,et al.MGRS:A multi-granulation rough set[J].Information Sciences,2010,180(6):949-970. [16] WU W Z,LEUNG Y.Theory and applications of granular labelled partitions in multi-scale decision tables[J].Information Sciences,2011,181(18):3878-3897. [17] GU S M,WAN Y H,WU W Z,et al.Local optimal granularity selections in multi-granular decision systems[J].Journal of Nanjing University(Natural Science),2016,2(2):280-288.(in Chinese) 顾沈明,万雅虹,吴伟志,等.多粒度决策系统的局部最优粒度选择[J].南京大学学报(自然科学),2016,52(2):280-288. [18] MENG H L,MA Y Y,XU J C.Granularity reduction of variable precision multi-granulation rough set based on granularity entropy of lower approximate distribution[J].Computer Science,2016,43(2):83-85.(in Chinese) 孟慧丽,马媛媛,徐久成.基于下近似分布粒度熵的变精度悲观多粒度粗糙集粒度约简[J].计算机科学,2016,43(2):83-85. |
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