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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >A multi-criteria decision-making method for hesitant fuzzy linguistic term set based on the cloud model and evidence theory
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A multi-criteria decision-making method for hesitant fuzzy linguistic term set based on the cloud model and evidence theory

机译：基于云模型和证据理论的犹豫不决模糊语言术语集的多标准决策方法

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摘要

The hesitant fuzzy linguistic term set (HFLTS) is usually used in the uncertain decision situation. In order to solve the problem of multi-criteria decision-making (MCDM) with HFLTS, a new MCDM method based on the cloud model and evidence theory is proposed in this paper. A new envelope, whose representation is a synthetic cloud generated by the multiple linguistic term in the HFLTS, is presented for HFLTS to facilitate the computing processes and take both the randomness and fuzziness of linguistic variables into consideration. As to overcome the drawbacks of tradition aggregation operator, the criteria values in the form of the belief degrees are obtained from the synthetic clouds and aggregated using the evidential reasoning algorithm. An illustrative example, which is given to confirm the feasibility and validity, also shows that with the proposed method more reasonable and accurate ranking results can be obtained. Moreover, the belief degree of each linguistic term as well as the hesitant degree of the assessment can be obtained simultaneously.
机译：犹豫不决的模糊语言术语集（HFLT）通常用于不确定的决策情况。为了解决HOFLT的多标准决策（MCDM）的问题，本文提出了一种基于云模型和证据理论的新MCDM方法。一个新的信封，其表示是由HFLT中的多个语言术语产生的合成云，以便HFLTS促进计算过程并考虑语言变量的随机性和模糊性。为了克服传统聚合运营商的缺点，从合成云获得信仰程度形式的标准值，并使用证据推理算法汇总。给出了确认可行性和有效性的说明性示例，也表明，通过所提出的方法可以获得更合理和准确的排名结果。此外，可以同时获得每个语言术语的信仰程度以及评估的若要评估。

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