直觉模糊相似度函数残缺属性值补充方法

摘要

According to the problem in which the information on attribute is unknown in the multiple attribute group decision, introduce unknown attribute information complementary method based on intuitionistic fuzzy similarity function. Through defining intuitionistic fuzzy similarity function and its integration operator, use intuitionistic fuzzy weighted average similarity operator to integrate decider intuitionistic fuzzy similarity. Put forwards complementary principle and method of unknown attribute value, and use the method in complementation of system combat target unknown attribute information. The results show that the complementary data is similar with decision expert E2, E4, E5 by adding complementation to decision expert E1. The method is effective and feasible.%针对群决策过程中属性值信息残缺的问题，提出基于直觉模糊数相似度函数的残缺属性值信息补充方法。通过定义直觉模糊相似度函数及其集成算子，利用直觉模糊加权平均相似度算子对决策者直觉模糊数相似度集结，给出残缺属性值的具体补充原理和方法，将该方法应用于体系化作战目标残缺属性值信息的补充。结果表明：试验中通过对决策专家E1的属性值信息补充，其补充数据与决策专家E2、E4、E5非常接近，证明该方法是可行、有效的。