论文部分内容阅读
为了使证据理论能更加有效地应用,把证据理论向模糊集推广,利用模糊集的隶属函数提出一种构造证据理论中的基本概率赋值函数的方法,实现了模糊理论和证据理论的有效结合。不但有效地解决了证据理论中的基本概率赋值函数的不易确定问题,而且由于证据理论应用于实际更加方便和有效,融合结果也更加合理。
In order to apply the evidence theory more effectively, the evidence theory is generalized to fuzzy sets, and a method of constructing the basic probability assignment function in evidence theory is proposed by using membership functions of fuzzy sets. The effective combination of fuzzy theory and evidence theory is achieved. This not only effectively solved the problem of the basic probability assignment function in evidence theory, but also made the result of the fusion more reasonable and convenient because the evidence theory is more practical and effective.