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A priority-based intuitionistic multiplicative UTASTAR method and its application in low-carbon tourism destination selection

机译:基于优先级的直觉乘法utastar方法及其在低碳旅游目的地选择中的应用

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The intuitionistic multiplicative preference relation extends Saaty's multiplicative preference relation by membership and non-membership functions to describe decision-makers' preferences on objects (alternatives or criteria), and the product of pairwise membership and non-membership degrees is less than or equal to one. In recent years, the intuitionistic multiplicative preference relation has attracted increasing attention and many methods have been proposed to handle multiple criteria decision making (MCDM) problems. However, few of the existing methods can be used to tackle the MCDM problems with both quantitative and qualitative criteria. To overcome this challenge, in this paper, a novel MCDM method called the priority-based intuitionistic multiplicative UTASTAR method is proposed, which combines a new intuitionistic multiplicative prioritization method and the UTASTAR method within the context of intuitionistic multiplicative sets. The consistency checking and improving processes are considered in the weight-determining method. A case study regarding the low-carbon tourism destination selection is adopted to illustrate the applicability of the proposed method. The effectiveness and superiority of the proposed method are further verified by comparative analyses and discussions. (C) 2019 Elsevier B.V. All rights reserved.
机译:直觉乘法偏好关系通过成员资格和非隶属函数扩展了Saaty的乘法偏好关系,以描述关于对象(替代或标准)的决策者的偏好,并且成对成员资格和非隶属度的乘积小于或等于一个。近年来,直觉乘法偏好关系引起了越来越多的关注,并且已经提出了许多方法来处理多种标准决策(MCDM)问题。然而,很少有现有方法可用于解决定量和定性标准的MCDM问题。为了克服这一挑战,在本文中,提出了一种称为基于优先级的直觉乘法utastar方法的新型MCDM方法,其在直觉乘法集的上下文中结合了新的直观乘法优先级方法和utastar方法。在重量确定方法中考虑了一致性检查和改进过程。采用关于低碳旅游目的地选择的案例研究来说明所提出的方法的适用性。通过比较分析和讨论进一步验证了所提出的方法的有效性和优越性。 (c)2019年Elsevier B.V.保留所有权利。

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