Evaluating and Ranking Metaverse Platforms Using Intuitionistic Trapezoidal Fuzzy VIKOR MCDM: Incorporating Score and Accuracy Functions for Comprehensive Assessment

Ruth Isabels, Arul Freeda Vinodhini, Anandan Viswanathan
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Abstract

The purpose of this study is to develop a new approach for decision-making for addressing multi-attribute decision-making problems within a trapezoidal intuitionistic fuzzy environment, while taking into account decision makers' psychological behavior. As a starting point, we propose and apply a distance metric model for trapezoidal intuitionistic fuzzy numbers. Then, by incorporating the expected value, score function, and accuracy value, we create a novel approach by comparing it with the results obtained from the VIKOR multi-criteria decision-making technique, allowing us to account for decision makers' risk tolerance. Through correlation analysis, we assess the similarities and deviations in the resulting rankings. Finally, we illustrate the practical utility and feasibility of our proposed approach by evaluating the digital marketing capabilities of a few metaverse platforms using standards set in line with marketing mix criteria.
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基于直觉梯形模糊VIKOR MCDM的元宇宙平台评价和排序:综合评价的得分和准确性函数
本研究的目的是在考虑决策者心理行为的前提下,开发一种新的决策方法来解决梯形直觉模糊环境下的多属性决策问题。作为出发点,我们提出并应用了一个梯形直觉模糊数的距离度量模型。然后,通过结合期望值,得分函数和准确性值,我们创建了一种新的方法,并将其与VIKOR多准则决策技术获得的结果进行比较,使我们能够考虑决策者的风险承受能力。通过相关分析,我们评估得出的排名中的相似性和偏差。最后,我们通过使用与营销组合标准一致的标准来评估几个元世界平台的数字营销能力,从而说明了我们提出的方法的实用性和可行性。
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
期刊最新文献
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