Abstract
Based on the relationship between evidence theory and intuitionistic fuzzy sets, a new method for assessing the reliability of evidence is proposed. At First, we transform the basic probability assignments function in evidence theory into an intuitionistic fuzzy set. Then, the similarity between BPAs is calculated by similarity measure in intuitionistic fuzzy sets. On this basis, the relative reliability and absolute reliability of the evidence are obtained by analyzing the relationship between the degree of evidence support and the reliability of the evidence. Moreover, A kind of dynamic reliability evaluation mechanism is proposed and imported to future improve evidence combination. According to Dempster’s rule as well as the evidence discounting operation, A new evidence combination rule is applied and a comparative analysis is achieved to evaluate the evidence combination rule and the performance of the reliability evaluation method based on numerical examples. The results show that this method can effectively evaluate unreliable evidence.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
