Computer Science ›› 2018, Vol. 45 ›› Issue (12): 160-165.doi: 10.11896/j.issn.1002-137X.2018.12.025

• Artificial Intelligence • Previous Articles     Next Articles

Dynamic Reliability Evaluation Method of Evidence Based on Intuitionistic Fuzzy Sets and Its Applications

WU Wen-hua1, SONG Ya-fei2, LIU Jing1   

  1. (Test Training Base,Information and Communication College,National University of Defense Technology,Xi’an 710106,China)1
    (Air and Missile Defense College,Air Force Engineering University,Xi’an 710051,China)2
  • Received:2018-01-28 Online:2018-12-15 Published:2019-02-25

Abstract: This paper presented a new evidence reliability evaluation method based on evidence theory and intuitionistic fuzzy sets,which can conduct reliability evaluation for different evidence sources when the prior knowledge is lacked.Firstly,the basic probability assignment (BPA) is transformed to intuitionistic fuzzy sets.Then,the similarity among BPAs is calculated through the similarity measure of intuitionistic fuzzy sets.On this basis,the concept of evidence support degree is proposed,and the relative reliability and absolute reliability of evidence can be obtained by analyzing the relationship between supporting degree and reliability of evidence.Lastly,the original evidence is corrected based on evidence discounting operation,and the corrected evidences are combined by Dempster rule.Besides,this paper proposed a multi-sensor fusion method based on the evidence reliability evaluation considering intuitionistic fuzzy sets.Numerical experiment was conducted to analyze its performance.The results show that this method can effectively evaluate the unreliable evidences.

Key words: Evidence theory, Intuitionistic fuzzy sets, Reliability evaluation, Sensor fusion

CLC Number: 

  • TP391
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