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针对权重信息不完全的语言多属性决策问题,提出一种基于可变模糊集理论的决策分析方法。首先将语言评价值转化为三角模糊数,计算各方案到正负理想点的加权广义欧式权距离,构建非线性规划模型,可同时得到属性权重和各方案的相对优属度,并按照相对优属度的大小将方案排序,选出最优方案;最后是一个实例分析,将该方法所得结果与现有方法的计算结果进行了比较。
Aiming at the language multi-attribute decision making problem with incomplete weight information, a decision analysis method based on variable fuzzy set theory is proposed. Firstly, the linguistic assessment value is transformed into a triangular fuzzy number, and the weighted generalized Euclidean distance of each solution to the positive and negative ideal points is calculated. The nonlinear programming model is constructed, and the relative weight of attribute and each program is obtained simultaneously. The degree of the degree of the program will sort programs, select the optimal program; Finally, an example analysis, the results obtained by the method and the results of the existing method were compared.