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首页> 外文期刊>Artificial Intelligence Review: An International Science and Engineering Journal >TODIM-based multi-criteria decision-making method with hesitant fuzzy linguistic term sets
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TODIM-based multi-criteria decision-making method with hesitant fuzzy linguistic term sets

机译:基于Todim的多标准决策方法,具有犹豫不决的模糊语言术语集

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As a popular tool for modeling the qualitative assessment information, the hesitant fuzzy linguistic term sets (HFLTSs) can allow the decision makes or experts to give several possible linguistic terms to rate the objects with respect to the criterion. Although there exist many multi-criteria decision-making methods put forward for handling the HFLTSs, they were developed based on the assumption that the decision makers can always provide completely rational assessments and they do not take the decision makers' psychological behaviors into consideration. In this paper, the traditional TODIM (an acronym in Portuguese for interactive multi-criteria decision making) method is extended to handle the HFLTSs based on the novel comparison function and distance measure. Firstly, we put forward a novel function for comparing two HFLTSs more effectively. After that, a novel hesitance degree function as well as some novel distance measures are given for HFLTSs. Then we apply them to extend the traditional TODIM method for solving the HFLTSs. Finally, a practical example concerning the evaluation and ranking of several satellite launching centers is provided to illustrate the validity and applicability of the proposed method.
机译:作为用于建模定性评估信息的流行工具,犹豫不决的模糊语言术语集(HFLTS)可以允许该决策或专家提供几种可能的语言术语来对对象相对于标准来评估对象。尽管存在许多多标准的决策方法来处理HFLTS,但它们是基于决策者始终提供完全理性的评估,并且他们不会考虑决策者的心理行为的假设。在本文中,传统的Todim(葡萄牙语中的葡萄牙语中的缩写为交互式多标准决策)方法,扩展了基于新颖的比较函数和距离测量来处理HFLTS。首先,我们提出了一种更有效地比较两个HFLTS的新功能。之后,给出了一种新颖的犹豫了功能以及一些新的距离措施的HFLTS。然后我们应用它们以扩展传统的Todim方法来解决HFLTS。最后,提供了关于评估和排名的实际举例,以说明所提出的方法的有效性和适用性。

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