基于直觉模糊多属性群决策的风险排序方法∗

摘要

In order to solve the fuzzy and uncertainty problem of information collection, avoid the mistakes of single-person decision, and describe different characteristics of risk, we combine the intuitionistic triangular fuzzy number and the theory of multi-attribute group decision-making, and propose a new ranking method based on intuitionistic fuzzy multi-attribute group decision-making and improve the accuracy of risk ranking. Firstly, we apply the intuitionistic triangular fuzzy number to collect expert judgment information. Secondly, we calculate the en-tropy weights of triangular fuzzy number and intuitionistic fuzzy number to get the combined weights, and obtain the comprehensive value of different risk schemes. Then, we rank compre-hensive value of different risk schemes by TOPSIS method. Finally, the numerical example is given to verify the feasibility and effectiveness of the method.%为了解决信息收集时的模糊性和不确定性问题，避免单人决策的失误，并全面描述风险的不同特征，本文将直觉三角模糊数和多属性群决策理论结合起来，提出了一种基于直觉模糊多属性群决策的风险排序方法，提高了风险排序的准确度。首先，运用直觉三角模糊数收集专家的判断信息；其次，通过分别计算三角模糊数和直觉模糊数的熵权得到组合权重，从而确定不同方案的风险综合值；再次，利用逼近理想解法对不同方案的风险综合值进行排序；最后，给出实例验证了该方法的有效性和可行性。