摘要
文章针对应急供应商选择过程中评价信息的不完全可靠性及专家背景的多样性问题,提出了一种基于Z-number和IBWM-TODIM方法相结合的评估框架,以此来选择应急供应商。该方法利用Z-number同时描述认知信息的不确定性和可靠性,增强了决策结果的可靠性和合理性;使用解释结构模型ISM确定最优指标和最劣指标,降低BWM方法的主观性,得到了指标权重;通过群体一致性和Z-number中的可靠性信息确定专家权重,使用TODIM方法进行排序,为应急供应商选择提供了更为准确和可靠的决策依据。
In this paper,we address the problems of incomplete reliability of evaluation information and diversity of expert backgrounds in the selection process of emergency suppliers,and propose an evaluation framework for selecting emergency suppliers based on a combination of Z-number and IBWM-TODIM methods.The method utilizes Z-number to simultaneously describe the uncertainty and reliability of cognitive information,which enhances the reliability and rationality of the decision-making results;uses the explanatory structural model ISM to determine the optimal and the worst indicators,reduces the subjectivity of the BWM method,and obtains the indicator weights;determines the expert weights through the group consistency and the reliability information in the Z-number,and finally uses the TODIM method for sorting,which provides a more accurate and reliable decision-making basis for emergency supplier selection.
作者
谢培成
倪静
XIE Peicheng;NI Jing(School of Management,University of Shanghai for Science and Technology,Shanghai 200000,China)
出处
《物流科技》
2024年第8期1-4,13,共5页
Logistics Sci-Tech
基金
教育部人文社会科学基金(19YJAZH064)。
