基于改进相似度的混合型多属性决策方法

Hybrid Multiple Attribute Decision Making Method Based on Improved Similarity Degree

摘要:

针对两区间之间无重叠部分导致无法准确衡量其相似度的问题,对现有的区间相似度计算方法进行了改进,改进后的相似度计算方法可以准确衡量任意两区间的相似度情况。在解决了原有方法区分度差问题的同时,丰富了处理混合型多属性决策问题的方法,算例结果与基于逼近理想解法和直觉模糊数法所得的结果一致,因而改进后的方法是实用和可行的。

Abstract:

Aiming at the question that the similarity degree was not to be weighed exactly resulted from the two interval numbers had not common parts, the existing method of interval numbers similarity calculation were improved .The improved method could weight the similarity degree between two arbitrary interval numbers exactly. At the same time bad differentiation degree question existed in the original method had been solved, and the method solving hybrid multiple attribute decision making question had been enriched. The result of the numerical example was in accord with ones based on TOPSIS method and intuitionistic fuzzy number method, and consequently the numerical example illustrated the validity and applicability of the improved method.