基于犹豫模糊可信度的知识推理

Approach for Knowledge Reasoning Based on Hesitate Fuzzy Credibility

针对不确定性推理中的可信度估值不精确的问题,将犹豫模糊集引入可信度不确定性推理中。提出犹豫模糊可信度的定义,并基于可信度的知识表示给出犹豫模糊可信度的知识表示方式。为解决专家在推理过程中出现的信息缺失问题,提出求解平均值的信息补全方法。构建犹豫模糊可信度的单条规则和多条规则并行关系的运算法则,并给出基于犹豫模糊可信度的知识表示与推理的具体步骤。最后,运用实例验证了所提算法的可行性及有效性。

In order to solve the problem of inaccurate estimation of credibility in uncertainty reasoning,hesitant fuzzy set was introduced into the reasoning of uncertainty in this paper.The concept of hesitant fuzzy credibility was given in this article.On the basis of the knowledge representation based on credibility,the method of knowledge representation of hesitant fuzzy credibility is defined.In order to solve the problem of missing information in the process of reasoning by experts,an information complement method for solving the average value was proposed.A single rule and multiple rules of parallel relationship of the hesitant fuzzy credibility were constructed,and the specific steps of knowledge representation and uncertainty reasoning based on the hesitant fuzzy credibility was given.Finally,an example was given to illustrate the effectiveness and feasibility of the proposed method.