摘要： D-S证据理论与多粒度粗糙集是两类不同的信息融合方法。对该理论展开详细的论述,找出两者之间的联系。根据这两者之间的互补性,提出了一种多粒度与证据理论相结合的新的融合策略,称之为基于多粒度视角的D-S证据理论的粒度融合方法。最后,通过实例说明了该融合算法的有效性。
| [1] Waltz E,Llinas J．Multisensor Data Fusion [M]．Boston:Artech House,1990 [2] Yao Y Y．Information granulation and rough set approximation [J]．International Journal of Intelligent Systems,2001(16):87-104 [3] Zadeh L A．Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic[J]．Fuzzy Sets and Systems,1997(90):111-127 [4] Dempster A．Upper and lower probabilities induced by a multivalued mapping [J]．The Annals of Mathematical Statistics,1967(38):325-339 [5] Shafer G．A Mathematical Theory of Evidence [M]．Princeton University Press,1976 [6] Smets P．The combination of evidence in the transferable belief models [J]．IEEE Transaction on Pattern Analysis and Machine Intelligence,1990,12(5):447-485 [7] Smets P,Kennes R．The transferable belief model [J]．Artificial Intelligence,1994,66(2):191-234 [8] Yager R R．On the Dempster-Shafer framework and new combination rules [J]．Information Sciences,1987,41(2):93-138 [9] Dubois D,Prade H．On the unicity of Dempster rule of combination[J]．International Journal of Intelligent System,1986(1):133-142 [10] Smsrandache F,Dezert J．Advances and application of DSmT for information fusion (Vol.1) [M]．Rehoboth:American Research Press,2004 [11] Liu W R．Analyzing the degree of conflict among belief functions [J]．Artificial Intelligence,2006,5:909-924 [12] 孙全,叶秀清,顾伟康．一种新的基于证据理论的合成公式[J]．电子学报,2000,28(8):117-119 [13] 邓勇,王栋,李齐,等．一种新的证据冲突分析法[J]．控制理论与应用,2011,28(6):839-844 [14] 杨善林,朱卫东,任明仑．基于可变参数优化的相关证据合成方法研究[J]．管理科学学报,2003,6(5):12-16 [15] Pawlak Z．Rough sets [J]．International Journal of computer and Information Sciences,1982(11):341-365 [16] Pawlak Z．Rough Sets:Theoretical Aspects of Reasoning about Data,System Theory,Knowledge Engineering and Problem Solving[D]．Kluwer,Dordrecht,1991,9 [17] Qian Y H,Liang J Y,Yao Y Y,et al.MGRS:A multi-granulation rough set [J]．Information Sciences,2010(180):949-970 [18] Qian Y H,Liang J Y．Rough set method based on multi-granulations[C]∥Proceedings of 5th IEEE Conference on Cognitive Informatics．2006(I):297-304 [19] Yao Y Y,Lingras P J．Interpretations of belief functions in the theory of rough sets [J]．Information Sciences,1998,104(172):81-106 [20] Wu W Z,Leung Y,Zhang W X．Connections between rough set theory and Dempster-Shafer theory of evidence [J]．InternationalJournal of General Systems,2002,31(4):405-430 [21] Liang J Y,Li R,Qian Y H．Distance:A more comprehensibleperspective for measures in rough set theory [J]．Knowledge-Based Systems,2012(27):126-136 [22] 杨风暴,王肖霞．D-S证据理论的冲突证据合成方法[M]．北京:国防工业出版社,2011 [23] MacQueen J B．Some methods for classification and analysis of multivariate observations[C]∥Proceeding of the 5th Berkeley Symposium on Mathematical Statistics and Probability．1967:281-297 |
| No related articles found! |
|
||
首页