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

被引：4
|
作者：
刘华
陈维平
康志新
NGAI Tungwai
李元元
机构：
[1] Guangzhou 510640
[2] College of Mechanical Engineering
[3] China
[4] South China University of Technology
来源：
Tsinghua Science and Technology | 2005年 / 05期
基金：
中国国家自然科学基金;
关键词：
green manufacturing; fuzzy multiple attribute decision making; aggregate risk; fuzzy logic;
D O I：
暂无
中图分类号：
TH16 [机械制造工艺];
学科分类号：
0802 ;
摘要：
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.
引用
收藏
页码：627 / 632
页数：6
相关论文
共 50 条
  • [41] A Fuzzy Multiple Attribute Decision Making Method Based on Possibility Degree
    Lv, Zhi-Ying
    Liang, Xi-Nong
    Liang, Xue-Zhang
    Zheng, Li-Wei
    2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 450 - 454
  • [42] Approaches to multiple attribute decision making with intuitionistic fuzzy preference information
    School of Economics and Management, Tsinghua University, Beijing 100084, China
    不详
    Xitong Gongcheng Lilum yu Shijian, 2007, 11 (62-71):
  • [43] Picture fuzzy aggregation operators and their application to multiple attribute decision making
    Wei, Guiwu
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 33 (02) : 713 - 724
  • [44] Fuzzy RBF neural network model for multiple attribute decision making
    Kong, Feng
    Liu, Hongyan
    NEURAL INFORMATION PROCESSING, PT 3, PROCEEDINGS, 2006, 4234 : 1046 - 1054
  • [45] Bipolar Fuzzy Hamacher Aggregation Operators in Multiple Attribute Decision Making
    Wei, Guiwu
    Alsaadi, Fuad E.
    Hayat, Tasawar
    Alsaedi, Ahmed
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2018, 20 (01) : 1 - 12
  • [46] A Teaching Evaluation model based on Fuzzy Multiple Attribute Decision Making
    Wang, Meili
    Li, Longlong
    He, Dongjian
    MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 2197 - +
  • [47] Simplification of fuzzy multiple attribute decision making in production line evaluation
    Pei, Zhi
    KNOWLEDGE-BASED SYSTEMS, 2013, 47 : 23 - 34
  • [48] A fuzzy multiple attribute decision making method based on possibility degree
    Lv, Zhi-Ying
    Zheng, Li-Wei
    Liang, Xi-Nong
    Liang, Xue-Zhang
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 31 (02) : 787 - 794
  • [49] Model for multiple attribute decision making with hesitant fuzzy information and their application
    Lin, Rui
    INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS, 2019, 23 (03) : 181 - 189
  • [50] An Approach to Multiple Attribute Decision Making with Trapezoid Fuzzy Linguistic Information
    Wu, Jianwu
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2011, 14 (06): : 1841 - 1846
12345