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首页> 外文期刊>International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems >Satisfaction Degree Based Interactive Decision Making under Hesitant Fuzzy Environment with Incomplete Weights
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Satisfaction Degree Based Interactive Decision Making under Hesitant Fuzzy Environment with Incomplete Weights

机译：不完全权重的犹豫模糊环境下基于满意度的交互式决策

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摘要

Multi-criteria decision making with hesitant fuzzy information is a new research topic since the hesitant fuzzy set was firstly proposed. This paper investigates a multi-criteria decision making problem where the weight information is partially known. We firstly propose the hesitant fuzzy positive ideal solution and the hesitant fuzzy negative ideal solution. Motivated by the TOPSIS (Technique for Order Preference by Similarity to an ideal Solution) method, we definite the satisfaction degree of an alternative, based on which several optimization models are derived to determinate the weights. Subsequently, in order to make a more reasonable decision, we introduce an interactive method based on some optimization models for multi-criteria decision making problems with hesitant fuzzy information. Finally, a practical example on evaluating the service quality of airlines is provided to illustrate our models and method.
机译：自最早提出犹豫模糊集以来，具有犹豫模糊信息的多准则决策是一个新的研究课题。本文研究了重量信息部分已知的多准则决策问题。首先提出了犹豫的模糊正理想解和犹豫的模糊负理想解。受TOPSIS（类似于理想解决方案的订单偏好技术）方法的启发，我们确定了替代方案的满意程度，在此基础上得出了几种优化模型来确定权重。随后，为了做出更合理的决策，我们引入了基于一些优化模型的交互式方法，以解决带有不确定模糊信息的多准则决策问题。最后，提供了一个评估航空公司服务质量的实例，以说明我们的模型和方法。

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