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  • 标题:Evaluating Evidence Reliability on the Basis of Intuitionistic Fuzzy Sets
  • 本地全文:下载
  • 作者:Wenhua Wu ; Yafei Song ; Weiwei Zhao
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2018
  • 卷号:9
  • 期号:12
  • 页码:298-309
  • DOI:10.3390/info9120298
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:intuitionistic fuzzy set; evidence theory; reliability evaluation; sensor fusion intuitionistic fuzzy set ; evidence theory ; reliability evaluation ; sensor fusion
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