基于直觉模糊交叉熵及灰色关联的混合评价信息供应商选择决策

针对主客观混合评价信息的供应商选择决策问题,提出一种基于直觉模糊交叉熵及灰色关联的群决策方法。在确定供应商选择决策指标体系的基础上,将不同类型的主观评价信息统一转化为直觉模糊数,基于新的得分函数及单个决策者与决策群体的评价偏差确定决策者权重。把转化为直觉模糊数的规范化客观评价信息与群体直觉模糊主观评价信息合并,并采用直觉模糊熵确定各属性权重。根据直觉模糊数之间的交叉熵距离度量,采用灰关联法实现对备选供应商的排序择优。制造类企业供应商选择算例表明所给方法的合理有效性。

Supplier selection decision making method based on intuitionistic fuzzy cross entropy and greySrelational

With respect to supplier selection decision making problem with hybrid assessment information, a group decision making method based on intuitionistic fuzzy cross entropy and greySrelational is proposed. AfterSidentifying the indexSsystem of supplier selection decision making, different types of subjective evaluation information are unified into intuitionistic fuzzy number, weights of decision makers are determined by theSnewSdefinitionSofSscore function and based on evaluation deviation between individual decision maker and the group. Standardized objective evaluation information is translated into intuitionistic fuzzy number, which is combined with intuitionistic fuzzy subjective evaluation information, using intuitionistic fuzzy entropy to determine the attribute weights. According to the cross entropy between intuitionistic fuzzy number, the rank results of alternatives are obtained based on gray correlative analysis method. Finally, an illustrative example of manufacture enterprises supplier selection is given to show the effectiveness and feasibility of the proposed method.