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Fuzzy multiattribute decision-making models and methods with incomplete preference information

机译:偏好信息不完全的模糊多属性决策模型和方法

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摘要

There exist many efficient methods for fuzzy multiattribute decision-making problems with the decision maker's preference information completely known and completely unknown, while there is not research in fuzzy multiattribute decision makings with the decision maker's preference informaiton incompletely known. In this paper, such problems were studied. The average weighted programming and minimum average weighted deviation methods were established. A real example demonstrated feasibility and effectiveness of the methods proposed in this paper.
机译:对于决策者的偏好信息完全已知和完全未知的模糊多属性决策问题,存在许多有效的方法,而对于决策者的偏好信息不完全了解的模糊多属性决策,尚无研究。本文对此类问题进行了研究。建立了平均加权规划和最小平均加权偏差方法。一个真实的例子证明了本文提出的方法的可行性和有效性。

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