Identification and application of the evidence conflict based on K-L information distance
被引:0
作者:
Li, Yang
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机构:
School of Business Administration, Northeastern University, Shenyang,110004, China
Hebei United University, Tangshan,063009, ChinaSchool of Business Administration, Northeastern University, Shenyang,110004, China
Li, Yang
[1
,2
]
Guo, Ya-Jun
论文数: 0引用数: 0
h-index: 0
机构:
School of Business Administration, Northeastern University, Shenyang,110004, ChinaSchool of Business Administration, Northeastern University, Shenyang,110004, China
Guo, Ya-Jun
[1
]
Yang, You-Liang
论文数: 0引用数: 0
h-index: 0
机构:
Hebei United University, Tangshan,063009, ChinaSchool of Business Administration, Northeastern University, Shenyang,110004, China
Yang, You-Liang
[2
]
机构:
[1] School of Business Administration, Northeastern University, Shenyang,110004, China
[2] Hebei United University, Tangshan,063009, China
来源:
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
|
2014年
/
34卷
/
08期
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摘要:
Evidence conflict is proved to be the main restricting problem of various synthesis methods in the evidences integration, this paper introduces the K-L information distance function to describe the conflict characteristics between evidences, defines the conflict degree of independent evidence in the whole system through the structure of distance matrix, realizes the systematic recognition of evidence conflict. Simulating results show that: the effective conflict identification of K-L information distance can complete the application constraint of D-S theory's synthetic rule, obtaining the optimized convergence results for synthesis of normal conflicting evidences, extracting the valuable information for the characteristics analysis of highly conflicting isolation evidence.