基于时间度的动态直觉模糊多属性妥协决策

针对当前动态直觉模糊多属性决策方法存在的不足,提出一种基于时间度的动态直觉模糊妥协决策方法。引入时间度准则,基于逼近理想解法融合主客观两类赋权法,获得兼顾主观偏好和样本客观信息的时序权重,克服现有时序权重主观赋值的随意性,同时运用直觉模糊熵(IFE)确定不同时序状态下各属性权重;根据动态直觉模糊加权几何算子(DIFWG)集结不同时序直觉模糊决策矩阵,构造动态直觉模糊综合决策矩阵,并利用VIKOR法,提供兼顾群体效用最大化与个体后悔最小化的各方案妥协折中排序,得到与理想解最近的妥协方案;以分布式创新企业合作伙伴选择为例,验证该方法在实际决策过程中的可行性和有效性。

Dynamic Intuitionistic Fuzzy Compromise Decision Making Method Based on Time Degrees

In view of the deficiencies of current dynamic intuitionistic fuzzy multi-attribute decision making methods, a compromised one based on time degrees was proposed. The principle of time degrees was introduced, and the subjective and objective weighting methods were synthesized based on technique for preference by similarity to ideal solution, obtaining sequential weights which combine both of subjective preference and objective information of samples, to overcome the randomness of subjectively determining the sequential weights; and intuitionistic fuzzy entropy(IFE)was applied to determine the attribute weights under different time sequence .Then different periods of intuitionistic fuzzy decision matrices were integrated by using dynamic intuitionistic fuzzy weighted geometric(DIFWG)operator to construct dynamic intuitionistic fuzzy comprehensive decision matrix, and the compromised ranking was provided based on VIKOR method considering both of maximum “group effectiveness” and minimum “individual regret”, obtaining the compromise scheme which was the closest to ideal solution. Finally, an example of partner selection of distributed innovation enterprise was given to verify the feasibility and effectiveness of the presented method.