Credibility Evaluation Method for Multidimensional Uncertain Interval Data based on the Evidence Theory

Suike Li, Yongchao Zhao, Haijun Wang
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Abstract

Aiming at the credibility of multi-dimensional uncertain interval data, an evaluation method based on evidence theory is established. Firstly, the subjective probability distribution and calculation method based on evidence theory are given. Then, the description method of evidence theory is introduced into multi-dimensional uncertain interval data to obtain the description of probability distribution. Furthermore, according to the evidential reasoning method, the probability of multi-dimensional uncertain interval data is comprehensively calculated to evaluate the credibility of the data. Finally, an example is given to verify the feasibility and effectiveness of the proposed method
基于证据理论的多维不确定区间数据可信度评估方法
针对多维不确定区间数据的可信度问题,建立了一种基于证据理论的可信度评价方法。首先,给出了基于证据理论的主观概率分布和计算方法。然后,将证据理论的描述方法引入到多维不确定区间数据中,得到概率分布的描述。根据证据推理方法,综合计算多维不确定区间数据的概率,评价数据的可信度。最后通过一个算例验证了所提方法的可行性和有效性
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