基于可变参数优化的相关证据合成方法研究

总结了相关证据合成的理论方法,分析了已有合成方法的不足,对相关证据的相关焦元 的分布情况进行了分析,提出一种面向问题的基于可变参数的相关证据的合成方法. 方法只对 相关焦元的基本可信数进行修正,克服了对相关证据所有焦元进行修正的弱点,使修正的对象 更加合理,修正系数可用基于学习的寻优方法得到. 在相关证据的相关焦元的基本可信数未知 的情况下也可进行相关证据的合成. 计算结果表明该方法对合成的结果有明显的改进

Combination theory and method for interrelated evidences based optimal adjust2 ment coeff icient

This paper summarized theories and methods for the combination of interrelated evidences , discussed the scourge of current combination methods , and presented a new combination method for interrelated evidences through analysis of focal element of interrelated evidences. The method focuses on the adjustment of basic probability num2 bers of interrelated focal element . It improves current adjustment methods that adjust all focal elements , makes the adjustment object more reasonable. The adjustment coefficient can be obtained through learning based optimal meth2 ods. This method can be used to combine interrelated evidences while the basic probability numbers of interrelated evidences are unavailable. An experimental computing shows the results is satisfactory.