Research On Multi-attribute Group Decision Making Methods Based On Probabilistic Linguistic Information And Their Applications In Green Supplier Selection

With the acceleration of economic development and technological innovation,people’s living standards are advancing with the times.At the same time,the waste of resources,environmental degradation,ecological destruction and other problems are coming one after another,the environment we live on is facing severe challenges.In this context,the government has introduced a variety of policies to strengthen the pollution control and environmental protection.People’s awareness of environmental protection has gradually increased,and enterprises shoulder more and more environmental responsibility.If enterprises want to coordinate economic development and environmental protection and achieve sustainable development,green supply chain management is imperative.The premise of green supply chain management is to choose suitable green suppliers.Therefore,choosing green suppliers that meet the requirements of green development of enterprises not only helps enterprises reduce costs in various aspects,but also helps enterprises save energy and reduce consumption,thus maximizing the common interests of economy and environment.The first step in selecting green suppliers is to evaluate them under the assessment system constructed by enterprises.However,some qualitative evaluation indexes are difficult to quantify,which increases the difficulty in the evaluation process.Probabilistic linguistic can well convert these qualitative information into quantitative information.Based on the above analysis,this paper deeply analyzes and discusses the multi-attribute group decision problem of green supplier selection in probabilistic linguistic environment,and comprehensively evaluates the factors that affect enterprises’ choice of green supplier.The research contents,innovations and results of this paper mainly include:（1）According to the development status of green suppliers,build a relatively general and reasonable green supplier evaluation index system on the basis of analyzing the existing evaluation indices in the selection of green suppliers.The system consists of four first-level indexes and twelve second-level refinement indexes.（2）Based on the theories of probabilistic linguistic terminology and multi-attribute group decision making,three multi-attribute group decision making models on probabilistic linguistic environment are proposed: probabilistic linguistic GRP model,probabilistic linguistic MACONT model and probabilistic linguistic WASPAS model;（3）Apply the three models proposed in this paper to the problem of green supplier selection.In the initial assessment,the experts used verbal information to express their preferences.During data processing,transform the linguistic information into probabilistic linguistic information,and the alternative green suppliers are decided by the model constructed in this paper.In the validity analysis,sensitivity analyses and comparative analyses are used to verify the rationality and feasibility of the three probabilistic linguistic multi-attribute group decision making models.This paper aims at enriching the research of multi-attribute group decision making in probabilistic linguistic environment,and making green supplier selection more scientific,reasonable and comprehensive.