Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Abstract

In today’s world, the demand for sustainable third-party reverse logistics providers (S3PRLPs) becomes an increasingly considerable issue for industries seeking improved customer service, cost reduction and sustainability perspectives. However, the assessment and selection of right S3PRLP is a complex uncertain decision-making problem due to involvement of numerous conflicting attributes, imprecise human mind and lack of information. Recently, Fermatean fuzzy set (FFS) has been recognized as one of the suitable tools to tackle the uncertain and inaccurate information. In this paper, we introduce a hybrid methodology based on CRITIC and EDAS methods with Fermatean fuzzy sets (FFSs) to solve the S3PRLP selection problem in which the attributes and decision makers’ weights are completely unknown. In this framework, CRITIC approach is applied to calculate the attribute weight and EDAS method is used to evaluate the priority order of S3PRLP options. To do this, a new improved generalized score function (IGSF) is developed with its elegant properties. Also, a formula is discussed to calculate the decision makers’ weights based on the developed IGSF. Next, developed framework is applied to assess a case study of S3PRLP selection problem with Fermatean fuzzy information, which elucidates the usefulness and practicality of the proposed method. Finally, comparative study is implemented to show the strength of introduced framework with extant approaches. The outcomes of the work confirm that the introduced approach is more feasible and well-consistent with the other extant approaches.

Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

“…Like the Standard Deviation and Entropy methods, this method has also been developed in many research types and applied to different MCDM problems. Shipboard crane selection [51], healthcare management evaluation [52], configuration optimization in energy systems [53], supply chain risk management [54], financial risk evaluation [52], quality assessment of wireless networks [55], urban transportation [56], location planning [57], third-party logistics providers [58], air quality assessment [59], waste disposal [60], and outsourcing evaluation [61] are some of the recent and essential real-life problems in which the CRITIC method has been applied.…”

“…Table 1 presents a summary of the above-mentioned studies. [38] 2021 Standard Deviation Evaluation design parameters of solid ventilated brake disc Afshar et al [42] 2021 Entropy Subcontractor evaluation problem using type-2 fuzzy sets Wang et al [50] 2021 Entropy Supplier selection for battery swapping stations Peng et al [52] 2021 CRITIC Healthcare management evaluation Görçün [56] 2021 CRITIC Evaluation of metro and tram vehicle for urban transportation Mishra et al [58] 2021 CRITIC Selection of sustainable third-party reverse logistics providers Peng et al [52] 2021 CRITIC Financial risk evaluation…”

Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method

“…Aydemir and Gunduz [ 9 ] extended the Dombi aggregation operators for FFSs. Recently, Mishra et al [ 32 ] studied an integrated MCDM methodology by CRiteria Importance Through Intercriteria Correlation (CRITIC) and Evaluation Based on Distance from Average Solution (EDAS) approaches under FFS context. Nonetheless, no one has focused their attention on location selection for HCW disposal under FFSs context.…”

A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

“…Chen et al [1] suggested a new multi-perspective multi-attribute decision-making support system for the evaluation and prioritization of 3PRLPs under an HF linguistic term set environment. Mishra et al [70] gave a combined framework with CRITIC and EDAS methods for Fermatean fuzzy sets (FFSs) to deal the S3PRLP selection problem in which the attributes and DEs' weights are completely unknown.…”

“…Mishra et al [34,35] proposed some entropy and divergence measures for HFSs and applied them to a service quality assessment and green supplier selection problem, respectively. Kobza et al [70] studied a new axiomatic definition of HF divergence measure and proposed some divergence measures under an HFS context. Recently, Mishra et al [75] studied an HF divergence measure-based Additive Ratio Assessment approach for a COVID-19 medication problem.…”