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Selection of solar tracking system using extended TOPSIS technique with interval type-2 pythagorean fuzzy numbers
Optimization and Engineering ( IF 2.0 ) Pub Date : 2021-04-11 , DOI: 10.1007/s11081-021-09623-1
Rimsha Umer , Muhammad Touqeer , Abdullah Hisam Omar , Ali Ahmadian , Soheil Salahshour , Massimiliano Ferrara

The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is considered among the most frequently used techniques to deal with multi-criteria group decision-making (MCGDM) conflicts. In this article, we have presented an extended TOPSIS technique in the framework of interval type-2 trapezoidal Pythagorean fuzzy numbers (IT2TrPFN). We first projected a novel approach to evaluate the distance between them using ordered weighted averaging operator and \((\alpha ,\beta )\)-cut. Subsequently, we widen the concept of TOPSIS method formed on the distance method with IT2TrPFNs and applied it on MCGDM dilemma by considering the attitudes and perspectives of the decision-makers. Lastly, an application of solar tracking system and numerous contrasts with the other existing techniques are presented to express the practicality and feasibility of our projected approach.



中文翻译:

区间2型勾股模糊数的扩展TOPSIS技术选择太阳跟踪系统。

在解决多标准组决策(MCGDM)冲突时,最常使用的技术被认为是“与理想解决方案相似的顺序偏好技术”。在本文中,我们在区间2型梯形勾股模糊数(IT2TrPFN)的框架内提出了一种扩展的TOPSIS技术。我们首先设计了一种新颖的方法,以使用有序加权平均算子和\((\ alpha,\ beta)\)来评估它们之间的距离。-切。随后,我们通过考虑决策者的态度和观点,拓宽了使用IT2TrPFN在距离方法上形成的TOPSIS方法的概念,并将其应用于MCGDM困境。最后,提出了太阳能跟踪系统的应用以及与其他现有技术的众多对比,以表达我们的预测方法的实用性和可行性。

更新日期:2021-04-11
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