Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL
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Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL Peng Li1 · Ju Liu1 · Cuiping Wei2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Evaluating and selecting suitable sustainable recycling partners is a key work in sustainable supply chain management. In order to deal with the probabilistic linguistic influence relations between criteria and obtain the key factors that influence the evaluation results of sustainable recycling partners, we propose a new decision-making trial and evaluation laboratory (DEMATEL) method. First, we propose a new generalized weighted ordered weighted averaging (GWOWA) operator and discuss its properties. Second, we use probabilistic linguistic term sets (PLTSs) to aggregate the experts’ hesitant fuzzy linguistic decision-making information and develop a novel method of transforming PLTSs into triangular fuzzy numbers (TFNs) based on the proposed GWOWA operator and the characteristics of PLTSs. Furthermore, we propose a method of making criteria relation analysis based on DEMATEL with TFNs. With the method, we not only access the importance weights of criteria but also obtain the influence relation among the criteria and cluster the criteria into two groups: cause group and effect group. Finally, we apply our method to a real case of sustainable recycling partner selection. Keywords DEMATEL · PLTS · Sustainable recycling partner evaluation · GWOWA
1 Introduction With the rapid development of industry, social problems, such as energy shortage and environmental pollution, have emerged. Government and the public have realized that sustainability in manufacturing is crucial. Sustainable supply chain management
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Cuiping Wei [email protected]
1
College of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu, People’s Republic of China
2
College of Mathematical Sciences, Yangzhou University, Yangzhou 225002, Jiangsu, People’s Republic of China
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P. Li et al.
(SSCM) has become a research topic of great interest (Ramos et al. 2014; Zhou et al. 2018). In SSCM, not only the economic index but also the social index, including environmental protection, should be considered. It is very important to choose suitable sustainable recycling partners for SSCM, and the selection process can be considered as a group multi-criteria decision-making problem. In the process of evaluating different partners, there are many qualitative criteria, such as customer satisfaction and brand reputation. It is difficult for decision makers (DMs) to use traditional crisp numbers to express their opinions. In correspondence with it, linguistic terms such as “good” and “bad” are suitable to address this scenario. Thus, fuzzy linguistic methods were proposed to solve qualitative decision-making problems. In some cases, the DM may feel hesitant when selecting linguistic terms to evaluate these qualitative criteria or the influence relations between criteria because of time pres
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