基于最大似然估计的多属性决策方法研究

Research OnMultiple Attribute Decision Making Based On Maximum Likelihood Estimate

针对MADM问题,利用最大似然估计运算以及期望运算把区间排序问题转化为实数排序,从而得到一种新的区间数排序方法,最后通过实例表明此方法的有效性。

Based on MADA, usingmaximum likelihood estimation and expected value operator and changing the problem of interval number ranking into the problem of real number region ranking. Obtains a new interval number ranking method based on variable precision rough set. Finally, an example is given to show the feasibility and availability of the method.