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Research on Multi-Attribute Decision-Making Method Based on Fuzzy Set Theory

机译:基于模糊集理论的多属性决策方法研究

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In the Multi-Attribute Decision Making theory (MADM), fuzzy Multi-Attribute Decision Making theory is an important aspect. And in practical problem, some index can't be expressed by certain number, just only expressed by linguistic words, under this situation, we must use fuzzy decision making method. This paper uses fuzzy LMS neural network to determinate weight, this method has the advantage of evaluating these factors both subjectively and objectively, by using subjective data and objective data, therefore can lead to more reasonable and meaningful conclusions. Through the factors' weights training, we can obtain the important degree of factors (weight determination). Then according to the weight we obtained, we use the TOPSIS algorithm to make decision. At last the numerical illustrations prove the new model to be effective and scientific.
机译:在多属性决策理论(MADM)中,模糊多属性决策理论是一个重要方面。在实际问题中,某些索引不能被某些数字表达,只有语言词只表达,在这种情况下,我们必须使用模糊决策方法。本文采用模糊LMS神经网络来确定权重,该方法具有通过使用主观数据和客观数据来评估这些因素的优点,因此可以导致更合理和有意义的结论。通过因素的权重培训,我们可以获得重要的因素(重量确定)。然后根据我们获得的重量,我们使用Topsis算法做出决定。最后,数值例证证明了新模型是有效和科学的。

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