How to effectively deal with uncertain information has traditionally been a concern. The D numbers theory overcomes the limitations of Dempster–Shafer theory and further strengthens the ability of uncertainty modeling. Recently, Yager et al. proposed a soft likelihood function which can effectively combine probability information. Related research has enriched and expanded its connotation, but there are still problems to be solved. This paper conducted further research and proposed a new soft likelihood function based on D numbers. Comparison and discussion illustrate the rationality and superiority of the proposed methodology.

中文翻译：

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不确定信息处理中基于D数的新似然函数

传统上，如何有效处理不确定的信息一直是人们关注的问题。该d数字理论克服证据理论的局限性，并进一步加强了不确定性建模的能力。最近，Yager等人。提出了一种可以有效组合概率信息的软似然函数。相关研究丰富和扩展了其内涵，但仍然有待解决的问题。本文进行了进一步的研究，提出了一种新的基于D数的软似然函数。比较和讨论说明了所提出方法的合理性和优越性。