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A New Method of Multi-criteria Group Decision Making Based on Hesitant-valued Intuitionistic Fuzzy and Osculating Value

机译:一种基于犹豫不决的直觉模糊和横向挥动挥动挥动值的多标准组决策方法

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This paper integrates the benefits of a intuitionistic fuzzy set (IFS) and a hesitant fuzzy set (HFS) to propose a new hesitant-valued intuitionistic fuzzy set (HVIFS). It retains the advantage of exchanging information in flexibility and exquisiteness, and also depicts the aspects of decision makers' hesitation in the membership degree and uncertainty. Hesitant-valued intuitionistic fuzzy (HVIF) value is able to better match the thinking mode and the real situation of decision makers (i.e. expert group). Considering the HVIFS numerical size depends on the size and stability, combine both of them to put forward a new scoring function. The Osculating Value method is able to reflect that whether the alternatives are close to the positive ideal scheme and away from the negative ideal scheme or not. Moreover, compared with VIKOR and TOPSIS methods, the Osculating Value use information more effectively and allows for a more accurate decision-making. According to these statements, a new approach of multi-attribute group decision making (MAGDM) based on HVIF and Osculating Value is proposed in this paper. In order to illustrate the effectiveness and efficacy of the method, apply it to evaluate a natural disaster emergency logistics scheme and the results showed that it is quite useful.
机译:本文集成了直觉模糊集(IFS)和犹豫不决的模糊集(HFS)的好处,提出了一种新的犹豫不决的直觉模糊集(HVIF)。它保留了更换灵活性和精致的信息的优势,并描述了决策者对成员度高和不确定性犹豫的方面。犹豫不决的直觉模糊(HVIF)值能够更好地匹配决策者的思维模式和实际情况(即专家组)。考虑到HVIFS数值尺寸取决于大小和稳定性,将它们两者组合起来提出了一个新的评分功能。静态值方法能够反映替代方案是否接近正理想方案,并远离负面理想方案。此外,与Vikor和Topsis方法相比,监控价值更有效地使用信息,并允许更准确的决策。根据这些陈述,本文提出了一种基于HVIF和静态值的多属性组决策(MAGDM)的新方法。为了说明该方法的有效性和功效,适用于评估自然灾害应急物流方案,结果表明它非常有用。

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