基于区间值直觉不确定语言信息的绿色供应商选择方法——以农业食品行业为例

Comprehensive Selection Method Based on Interval Value Intuition Uncertainty Language Information：A Case Study in the Agri-Food Industry Green Supplier

摘要:

科技发展带给人类巨大物质享受的同时，环境资源与其之间的矛盾亦逐渐爆发。在此背景下，绿色供应链管理（GSCM）应景而生，GSCM的实施关键是要将环境因素纳入供应商选择的实际情景中。本研究基于区间值直觉不确定语言集（IVIULSs）和GRA-TOPSIS方法提出了一种改进型的绿色供应商选择模型。首先，基于IVIULSs对决策者评估供应商时遇到的不确定信息进行处理。其次，利用GRA-TOPSIS方法对备选方案进行优先排序，并选出最佳的供应商。该模型可以更精准地处理决策者主观评价的不确定性和模糊性，使绿色供应商的排名更加真实准确。最后，本文将该模型运用到农业食品行业中，成功验证了提出的绿色供应商选择模型的可行性、有效性。

Abstract:

While the development of science and technology have brought enormous material enjoyment to mankind, the contradiction between environmental resources and it has gradually erupted. In this context, Green Supply Chain Management (GSCM) has emerged. The key means to the implementation of GSCM is incorporating environmental factors into the actual scenarios of supplier selection. This study proposes an improved green supplier selection model based on interval-valued intuitionistic uncertain language sets (IVIULSs) and GRA-TOPSIS methods. Based on IVIULSs, the uncertain information encountered by decision makers in evaluating suppliers is processed. Then, use the GRA-TOPSIS method to prioritize alternatives and select the best suppliers. The model can more accurately deal with the uncertainty and ambiguity of on makers'' subjective evaluation, making the ranking of green suppliers more realistic and accurate. Finally, the paper applies the model to the agri-food industry and successfully verifies the feasibility and effectiveness of the proposed green supplier selection model.