考虑风险偏好的区间直觉模糊软集型多属性决策方法

文章针对多方参与、评价指标有差异且存在模糊性的多属性方案优选问题,提出了一种考虑风险偏好的区间直觉模糊软集决策方法.对这类区间直觉模糊软集的多属性决策问题,提出了一个三阶段的决策方法,且按照决策者三种不同风险偏好,给出了相应的决策原则.在此基础上,文章选择了其中一种情形提出了具体的决策算法.最后,文章通过数值算例验证了该方法的可行性和有效性,同时采用综合得分值对该方法的结果进行了一致性的验证和讨论.该方法不仅可以很好地解决这类多属性方案优选问题,也能进一步推广到多属性方案的排序问题中.

A multi-attribute decision making method considering risk appetite based on interval-valued intuitionistic fuzzy soft set

The paper proposed a method to solve selecting alternatives problem with multiple attribute based on interval-valued intuitionistic fuzzy soft set, in which the attributes information are different and fuzzy, and the participant are multiple. In this method, three stages are given based on these all decision information. In the decision-making process, risk appetite is considered and the corresponding decision-making principles are presented in every stage. On the basis of the discussion of these decision rules, we proposed a concrete algorithm. Finally, an example and some consistency discussions of the result have been verified to test the feasibility and effectiveness. The method presented in this paper can not only well solve the selecting problem, but also can be further spread to the ranking problem of multiple attribute.