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从模糊模式识别概念出发 ,以群决策成员的经验、偏好为监督 ,建立一种全体决策成员对所有方案集的全体级别加权广义欧氏权距离平方和最小为目标函数的非线性规划模型。利用该模型可以在确定目标指标和决策人权重的同时确定决策方案相对优属度。为群决策支持系统研究提供了一种新的途径
Starting from the concept of fuzzy pattern recognition and using the experience and preferences of group decision-making members as a supervising instrument, a nonlinear programming model is established, in which the total sum of the square distances of the generalized Euclidian weights of all the decision-making members is the minimum as the objective function. The model can be used to determine the relative elitibility degree of decision-making scheme while determining the target index and the weight of decision-maker. It provides a new way for the study of group decision support system