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 (α, β) -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.
Selection of solar tracking system using extended TOPSIS technique with interval type-2 pythagorean fuzzy numbers / Umer, R.; Touqeer, M.; Omar, A. H.; Ahmadian, A.; Salahshour, S.; Ferrara, M.. - In: OPTIMIZATION AND ENGINEERING. - ISSN 1389-4420. - 22:4(2021), pp. 2205-2231. [10.1007/s11081-021-09623-1]
Selection of solar tracking system using extended TOPSIS technique with interval type-2 pythagorean fuzzy numbers
Ferrara M.
Supervision
2021-01-01
Abstract
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 (α, β) -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.File | Dimensione | Formato | |
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