摘要
考虑到不同决策者有不同的风险偏好,提出权重和属性值都是直觉模糊集的多属性风险偏好决策模型。在满足权重约束条件下,规避风险的决策者赋予清晰度越高的属性越大的权重;风险中性的决策者赋予每种属性相同的权重;偏好风险的决策者赋予犹豫度越大的属性越大的权重。最后,运用案例进行决策,验证了本文决策方法的有效性。
In view of the risk preference of different decision-maker may be diverse, it gives a model with risk preference for multi-attribute decision-making with intuitionistic fuzzy weight and intuitionistic fuzzy attribute. It draws some conclusions on the restricted conditions of weight of attributes: If decision makers are risk-averse, they try their best to make the more degree of accuracy of an attribute, the more its weight ; If decision makers are risk-neutral, they try their best to make the same weights for all attributes. if decision makers are risk-seeking, they try their best to make the more degree of hesitancy of an attribute, the more its weight. Finally, it uses an example to testify the validity of this multi-attribute risk preference decision-making with intuitionistic fuzzy weights and intuitionistic fuzzy attributes.
出处
《模糊系统与数学》
CSCD
北大核心
2015年第5期141-147,共7页
Fuzzy Systems and Mathematics
关键词
直觉模糊集
犹豫度
风险偏好
多属性
权重
Intuitionistic Fuzzy Sets
Degree of Hesitancy
Risk Preference
Multi-attribute
Weight