Fuzzy Multiple Attribute Decision Making for Evaluating Aggregate Risk in Green Manufacturing

• 作 者: 刘华 陈维平 康志新 NGAI Tungwai 李元元
• 机 构: College of Mechanical Engineering, South China University of Technology, Guangzhou 510640, China,Col
• 出 处: Tsinghua Science and Technology
• 发表日期: 2005年05期
• 关键词: aggregate triangular uncertain hierarchical translated sustainable attribute cer

Industrial risk and the diversification of risk types both increase with industrial development. Many uncertain factors and high risk are inherent in the implementation of new green manufacturing methods. Because of the shortage of successful examples and complete and certain knowledge, decision-making methods using probabilities to represent risk, which need many examples, cannot be used to evaluate risk in the implementation of green manufacturing projects. Therefore, a fuzzy multiple attribute decision-making (FMADM) method was developed with a three-level hierarchical decision-making model to evaluate the aggregate risk for green manufacturing projects. A case study shows that the hierarchical decision-making model of the aggregate risk and the FMADM method effectively reflect the characteristics of the risk in green manufacturing projects.

Industrial risk and the diversification of risk types both increase with industrial development. Many uncertain factors and high risk are inherent in the implementation of new green manufacturing methods. Because of the shortage of successful examples and complete and certain knowledge, decision-making methods using probabilities To represent risk, which need many examples, can not be used to evaluate risk in the implementation of green manufacturing projects. (FMADM) method was developed with a three-level hierarchical decision-making model to evaluate the aggregate risk for green manufacturing projects. A case study shows that the hierarchical decision-making model of the aggregate risk and the FMADM method substantially reflect the characteristics of the risk in green manufacturing projects.