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Information 2018, 9(12), 298; https://doi.org/10.3390/info9120298

Evaluating Evidence Reliability on the Basis of Intuitionistic Fuzzy Sets

1
Test Training Base of Information and Communication College, National University of Defense Technology, Xi’an 710106, China
2
College of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, China
*
Author to whom correspondence should be addressed.
Received: 12 October 2018 / Revised: 20 November 2018 / Accepted: 21 November 2018 / Published: 25 November 2018
(This article belongs to the Section Information Processes)
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Abstract

The evaluation of evidence reliability is still an open topic, when prior knowledge is unavailable. In this paper, we propose a new method for evaluating evidence reliability, in the framework of intuitionistic fuzzy sets. The reliability of evidence was evaluated, based on the supporting degree between basic probability assignments (BPAs). The BPAs were first transformed to intuitionistic fuzzy sets (IFSs). By the similarity degree between the IFSs, we can get the supporting degree between the BPAs. Thus, the reliability of evidence can be evaluated, based on its connection with supporting degree. Based on the new evidence reliability, we developed a new method for combining evidence sources with different reliability degrades. Comparison with other methods was carried out to illustrate the effectiveness of the new method. View Full-Text
Keywords: intuitionistic fuzzy set; evidence theory; reliability evaluation; sensor fusion intuitionistic fuzzy set; evidence theory; reliability evaluation; sensor fusion
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Wu, W.; Song, Y.; Zhao, W. Evaluating Evidence Reliability on the Basis of Intuitionistic Fuzzy Sets. Information 2018, 9, 298.

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