基于直觉模糊集的证据可靠性评价方法

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI:10.1109/ICAIIS49377.2020.9194948

Wenhua Wu, Wei Cao, Ting Yan, Zhiguo Wang, Shu Wang

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引用次数: 1

摘要

现有的证据动态可靠性评估大多基于大多数原则，该方法不适用于只有两个证据的情况，也不可能用该方法评估时域证据序列中相邻的两个证据的可靠性。介绍了直觉模糊集和证据理论的相关概念，描述了直觉模糊集与BPAF之间的关系。研究重点是证据序列的动态可靠性评估。结合证据理论中BPAF与直觉模糊集的关系。最后，提出了一种新的证据可靠性评估方法，实现了在缺乏先验知识的情况下对各个证据源的可靠性进行评估。

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Evaluation Method of Evidence Reliability Based on Intuitionistic Fuzzy Sets

Most of the existing evidence dynamic reliability assessments are based on most principles, this method is not suitable for the case where there is only two evidences, and it is impossible to use this method to evaluate the reliability of two adjacent evidences in the time-domain evidence sequence. The concepts related to intuitionistic fuzzy sets and evidence theory is introduced and the relationship between intuitionistic fuzzy sets and BPAF are described. The research focuses on the dynamic reliability evaluation of evidence sequences. Combining the relationship between BPAF and intuitionistic fuzzy sets in evidence theory. Finally, a new method for evaluating the reliability of evidence is proposed, which realizes the evaluation of the reliability of each evidence source in the absence of prior knowledge.

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2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)

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