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Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators

机译:基于复杂直觉模糊哈米均值算子的多属性决策在旅游业发展中的应用

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摘要

In the aggregation of uncertain information, it is very important to consider the interrelationship of the input information. Hamy mean (HM) is one of the fine tools to deal with such scenarios. This paper aims to extend the idea of the HM operator and dual HM (DHM) operator in the framework of complex intuitionistic fuzzy sets (CIFSs). The main benefit of using the frame of complex intuitionistic fuzzy CIF information is that it handles two possibilities of the truth degree (TD) and falsity degree (FD) of the uncertain information. We proposed four types of HM operators: CIF Hamy mean (CIFHM), CIF weighted Hamy mean (CIFWHM), CIF dual Hamy mean (CIFDHM), and CIF weighted dual Hamy mean (CIFWDHM) operators. The validity of the proposed HM operators is numerically established. The proposed HM operators are utilized to assess a multiattribute decisionmaking (MADM) problem where the case study of tourism destination places is discussed. For this purpose, a MADM algorithm involving the proposed HM operators is proposed and applied to the numerical example. The effectiveness and flexibility of the proposed method are also discussed, and the sensitivity of the involved parameters is studied. The conclusive remarks, after a comparative study, show that the results obtained in the frame of CIFSs improve the accuracy of the results by using the proposed HM operators.
机译:在不确定信息的聚合中,考虑输入信息的相互关系非常重要。哈米均值 (HM) 是处理此类情况的良好工具之一。本文旨在将HM算子和双HM(DHM)算子的思想扩展到复杂直觉模糊集(CIFS)的框架下。使用复杂直觉模糊CIF信息框架的主要好处是,它可以处理不确定信息的真度(TD)和假度(FD)两种可能性。我们提出了四种类型的HM算子:CIF哈米均值(CIFHM)、CIF加权哈米均值(CIFWHM)、CIF双哈米均值(CIFDHM)和CIF加权双哈米均值(CIFWDHM)算子。数值验证了所提出的HM算子的有效性。利用所提出的HM算子来评估多属性决策(MADM)问题,并讨论了旅游目的地的案例研究。为此,提出了一种涉及所提出的HM算子的MADM算法,并将其应用于数值算例。还讨论了所提方法的有效性和灵活性,并研究了相关参数的灵敏度。经过对比研究的结论性评论表明,在CIFS框架下获得的结果通过使用所提出的HM算子提高了结果的准确性。

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