目前大多数决策方法的定权问题仅依靠决策矩阵而忽略了决策背景。针对上述问题,将案例推理方法融入到直觉模糊决策问题。首先根据直觉模糊数的内涵构建一种相似度公式,将案例推理模型跟相似度测度结合求得最优权重以及分类半径,进而进行择优排序。最后通过案例分析详细说明了本文方法的优势之处:根据决策数据又考虑专家意见,使得决策结果与现实情况更加一致,并提出一种解决面向直觉模糊决策问题的新思路。
Most current decision methods of fixed weight problems rely on decision-making matrix and ignoring the background. Aiming at these problems, the method of case-based reasoning was fused into the intuitionistic fuzzy decision making problem. At first,according to the connotation of intuitionistic fuzzy numbers, a similarity formula was proposed. By combination of case-based reasoning model with similarity measure, the optimal weight and radius of classification were obtained, and by which the best alternative was gained.Finally, through case analysis details the advantages of this method were summarized as follows: this method not only took the decision data into consideration but also expert's advice, and made the decision results more consistent with the reality, and put forward a new idea to solve the problem of intuitionistic fuzzy decision making problems.
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