An evolved VIKOR method for multiple-criteria compromise ranking modeling under T-spherical fuzzy uncertainty. (October 2022)

• Record Type: Journal Article
• Authors: Chen, Ting-Yu
• Is Part Of: Advanced engineering informatics. Volume 54(2022)
• Publication Date: 2022-10
• Subjects: T-spherical fuzzy (T-SF) set -- VIKOR -- Compromise ranking modeling -- Multiple criteria analysis -- Warehouse location -- Advertisement strategy; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2022.101802
• Languages: English
• ISSNs: 1474-0346

Abstract

Highlights: Compromise ranking modeling for qualitative multiple-criteria choice analysis. A T-spherical fuzzy (T-SF) VIKOR (VIšekriterijumsko KOmpromisno Rangiranje) method. Evolved T-SF score functions for forming aspired and despised T-SF characteristics. Determination of group utility, individual regret, and joint generalized measures. Practical application and comparative analyses to show the efficacy and strengths. Abstract: The development of T-spherical fuzzy (T-SF) sets in qualitative multiple-criteria choice analysis has been well investigated, but little is explored about how the VIKOR (i.e., VIšekriterijumsko KOmpromisno Rangiranje in Serbian) mechanism is generalized into intricate T-SF environments. This paper has the objective of propounding a creative T-SF VIKOR methodology for compromise ranking modeling in multiple criteria analysis. The exploitation of the T-SF configuration brings about superior information space representation in response to intricate realistic environments. However, because of the increased complexity of decision situations involving T-spherical fuzziness, treatment with the T-SF information arises a pragmatic difficulty in developing methodological approaches to T-SF VIKOR. In light of this concern, this paper unfolds an analytical framework for the T-SF VIKOR method predicated on new notions of an evolved T-SF score function and the Minkowski-type T-SF distance measure along with its special cases of the Manhattan-, Euclidean-, and Chebyshev-type distances. The aspired and despised T-SF characteristics can be identified supported by the evolved T-SF score function of T-SF performance ratings. This paper gives a new delineation of the group utility, individual regret, and joint generalized measures with the aid of the Minkowski-type T-SF distance measure relative to the aspired/despised T-SF characteristics. A synthetic mechanism is built to validate the standards of acceptable advantage and stability and yield the ultimate compromise choices for multiple criteria decision aiding. The practicality of the T-SF VIKOR methodology in down-to-earth decision situations has been well demonstrated through the selection issues of warehouse locations and advertisement strategies. Moreover, the developed approach has shown better application outcomes than the past methods did. The comparative study with parametric analysis has revealed the steadiness and effectiveness of the compromise choice results in T-SF circumstances.