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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Linguistic interval-valued intuitionistic fuzzy Archimedean prioritised aggregation operators for multi-criteria decision making
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Linguistic interval-valued intuitionistic fuzzy Archimedean prioritised aggregation operators for multi-criteria decision making

机译:用于多标准决策的语言间隔 - 值直觉模糊ARCHIMEDEAN优先级聚合运算符

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摘要

Two key steps in multi-criteria decision making (MCDM) are to quantify the considered criteria and to fuse the quantified criterion information to sort all alternatives. One of the most recent and important tools for the first step is linguistic interval-valued intuitionistic fuzzy number (LIVIFN) and one of the most common and effective ways for the second step is aggregation operator (AO). So far, a number of AOs of LIVIFNs have been presented. Each AO can work well under certain conditions. But there is not yet an AO of LIVIFNs that can deal with the situation where the weights of the considered criteria are unknown and the criteria are in different priority levels and concurrently provide satisfying generality and flexibility in the aggregation of criterion information. To this end, a linguistic interval-valued intuitionistic fuzzy Archimedean prioritised and (LIVIFAPA) operator and a linguistic interval-valued intuitionistic fuzzy Archimedean prioritised or (LIVIFAPO) operator, which have such capabilities, are presented in this paper. The formal definitions and generalised expressions of the two AOs are firstly provided. Then their properties are explored and proved and specific expressions are established. After that, a new method for solving the LIVIFNs based MCDM problems is proposed on the basis of the presented AOs. Finally, the proposed method is illustrated via an example about additive manufacturing machine selection and is evaluated via a comparison with existing methods. The major contribution of the paper is the development of the LIVIFAPA and LIVIFAPO operators for MCDM, which can make up for the above shortcoming of the existing AOs of LIVIFNs.
机译:多标准决策(MCDM)中的两个关键步骤是量化所考虑的标准并融合量化的标准信息来排序所有备选方案。第一步的最新和重要工具之一是语言间隔值直觉模糊数(LIVIFN)和第二步的最常见和有效的方法之一是聚合运算符(AO)。到目前为止,已经呈现了许多人的alivns。每个AO都可以在某些条件下工作。但是,尚未成为Livifns的Ao,可以处理所考虑的标准的权重未知的情况,并且标准处于不同的优先级,并同时提供令人满意的普遍性和灵活性。为此,本文介绍了一个语言间隔的间隔直觉模糊ArchimEdean和(Livifapa)操作员和语言间隔值的模糊ArchimEdean优先考虑的或(Livifapo)操作员,其具有这种能力。首先提供了两个AO的正式定义和广义表达。然后探索他们的物业,并证明了特定的表达。之后,基于所提出的AOS提出了一种解决基于LiVIFN的MCDM问题的新方法。最后,通过关于添加剂制造机器选择的示例来示出所提出的方法,并通过与现有方法的比较来评估。本文的主要贡献是Livifapa和Livifapo运营商的MCDM的发展,可以弥补上述Livifns AOS的上述缺点。

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