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

Abstract： 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. 作 者： LIU Hua    CHEN Weiping    KANG Zhixin    NGAI Tungwai    LI Yuanyuan   作者單位： College of Mechanical Engineering, South China University of Technology, Guangzhou 510640, China  期 刊： 清華大學(xué)學(xué)報(bào)自然科學(xué)版（英文版）  EI   Journal： TSINGHUA SCIENCE AND TECHNOLOGY  年，卷(期)： 2005, 10(5)  分類號(hào)： X3  Keywords： green manufacturing    fuzzy multiple attribute decision making    aggregate risk    fuzzy logic