A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective

Abstract

Due to the continuous changes of political environment, consumption habits, technological progress and other factors, the external environment of enterprises is full of uncertainty. The turbulence of external environment is not conducive to the long-term operation and development of enterprises, but also brings great challenges to the selection of suppliers. This makes the competition of enterprises focus on how to choose long-term cooperation suppliers in the uncertain external environment. In addition, due to the deterioration of the global environment, governments pay more and more attention to environmental pollution, and consumers are more and more inclined to green consumption, which makes many companies pay more and more attention to environmental indicators when selecting suppliers. In the case of external environment turbulence and serious environmental pollution, the evaluation and selection of green suppliers in uncertain environment is particularly important for the long-term development of enterprises. What’s more, when the supplier’s capability gap is small, the decision-maker often hesitates among several suppliers. In this paper, the hesitant fuzzy is used to describe the hesitant psychology of decision-makers in selecting suppliers, the variance fluctuation is used to describe the characteristics of hesitant fuzzy numbers, and the probability is used to measure the uncertainty of the environment. A green supplier evaluation model under the uncertainty environment is proposed, which comprehensively evaluates the green suppliers under the uncertain environment. Furthermore, it is compared with other methods that do not consider the uncertainty and the adaptability of evaluation method and right confirmation method, so as to reflect the influence of uncertainty to green supplier evaluation and the importance of adaptability of evaluation method and right confirmation method.

Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China

“…The approach provides new knowledge in addressing hesitant environment during the decision-making process. To clarify this new knowledge, two related studies have been compared and discussed with this research, namely, the method based on variance fluctuations and weighted TOPSIS (Xu et al. , 2021) and the application of fuzzy TOPSIS approach (Liang et al.…”

“…In this comparison, we compare our proposed method with the method based on variance fluctuations and weighted TOPSIS (Xu et al. , 2021).…”

Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming

“…[ 30 ] integrated AHP with ELECTRE to identify the major criteria for sustainable supply chain operations. [ 107 ] proposed a green supplier evaluation model under the uncertain environment and used a hesitant fuzzy TOPSIS method for the model. [ 108 ] considered different supplier evaluation criteria and ambiguities in criteria values while solving a sustainable supplier selection problem using DEMATEL and Fuzzy VIKOR methods.…”

Green supplier selection problems with data scaling and production frontier estimations in a DEA model

“…The supplier is often unable to deliver the optimal batch size, so the purchasing manager should know the effectiveness of the proposed batch size. Since DEA determines efficiency, the parameterization can also provide answers to the results of the sensitivity analysis besides the uncertainty of the data (Xu et al 2021).…”