Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

Abstract

<jats:p>The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly occurred in sustainable supplier selection problem and hesitant fuzzy set (HFS), an improvement of Fuzzy Set (FS), has been proved as one of the efficient and superior ways to express the uncertain information arisen in practical problems. The present study proposes a novel framework based on COPRAS (Complex Proportional Assessment) method and SWARA (Step-wise Weight Assessment Ratio Analysis) approach to evaluate and select the desirable sustainable supplier within the HFSs context. In the proposed method, an extended SWARA method is employed for determining the criteria weights based on experts’ preferences. Next, to illustrate the efficiency and practicability of the proposed methodology, an empirical case study of sustainable supplier selection problem is taken under Hesitant Fuzzy (HF) environment. Further, sensitivity analysis is performed to check the stability of the presented methodology. At last, a comparison with existing methods is conducted to verify the strength of the obtained result. The final outcomes confirm that the developed framework is more consistent and powerful than other existing approaches.</jats:p>

An integrated decision-making COPRAS approach to probabilistic hesitant fuzzy set information

“…Krishankumar et al [70] put forward a new framework with COPRAS under double hierarchy linguistic information for green supplier selection. Rani et al [71] made an assessment of suppliers based on sustainable factors using SWARA-COPRAS combination under HFS.…”

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

“…Xiong et al (2020) proposed a hybrid method integrating the BWM, WASPAS, and TOPSIS to solve a problem that no comprehensive criteria system and performance values were expressed by crisp numbers. Rani et al (2020a) proposed a framework on the basis of the COPRAS and SWARAS methods to select the desirable sustainable supplier within the hesitant fuzzy sets context. Wang et al (2020) applied the fuzzy AHP to determine the weights of potential suppliers and used the PRO-METHEE II to rank the suppliers.…”

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

“…Narayanamoorthy et al [42] gave a latest ranking scheme, named as HF-Multi-Objective Optimization on the basis of Simple Ratio Analysis (HF-MOOSRA), for evaluating and choosing an ideal bio-medical waste disposal treatment method. Rani et al [43] assessed and prioritized the sustainable suppliers by employing the HF-Step-wise Weight Assessment Ratio Analysis-COPRAS methodology. Demirel et al [44] proposed an innovative Choquet integral-based hesitant fuzzy decision-making method to prevent soil erosion.…”