Artificial Intelligence

    

A Modified Belief Functions Distance Measure for Orderable Set

Authors: Xingyue Yang, Xuan Zhao, Bingyi Kang

This paper proposes a new method of measuring the distance between conflicting order sets, quantifying the similarity between focal elements and their own size. This method can effectively measure the conflict of belief functions on an ordered set without saturation due to the non-overlapping focus elements. It has proven that the method satisfies the property of the distance. Examples of the engineering budget and sensors show that the distance can effectively measure the conflict between ordered sets, and prove the distance we propose to reflect the information of order sets more comprehensively by comparison with existing methods and the conflict metric between ordered sets is more robust and accurate

Comments: 23 Pages.

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Submission history

[v1] 2021-11-15 19:53:00

Unique-IP document downloads: 320 times

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