Affiliation:
1. School of Big Data & Software Engineering, Chongqing University, Chongqing 401331, China
2. Dean’s Office, Chongqing Aerospace Polytechnic, Chongqing 400021, China
3. Department of Computer Engineering, Chongqing Aerospace Polytechnic, Chongqing 400021, China
Abstract
Addressing the problem of fusing highly conflicting evidences in Dempster–Shafer theory is one of the most necessary, important, and difficult research directions all the time, and so far we have published two papers related to it. In this paper, another novel method to handle conflict when combining evidences is proposed, where evidence distance, evidence angle, and improved entropy function, three key tools, are used for constructing the final weight of each body of evidence. This newly proposed approach mainly consists of three steps: firstly, both evidence distance and evidence angle determine the initial weight together; secondly, making use of the improved entropy modifies the initial weight to get the final weight; lastly, the classical D-S combination rule will be applied to obtain final fusion results. Still a classical numeric example and a real fault diagnosis application both demonstrate its effectiveness and efficiency, and compared with other current popular methods including two of our previous works, this new approach can converge fast and reduce most uncertainty of decision-making when fusing highly conflicting evidences.
Funder
Specialized Research Fund for the Doctoral Program of Higher Education of China
Subject
General Engineering,General Mathematics
Cited by
5 articles.
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