Multiple attribute design evaluation of complex engineering products using the evidential reasoning approach

被引:65
|
作者
Yang, JB
Sen, P
机构
[1] UNIV NEWCASTLE UPON TYNE,DEPT MARINE TECHNOL,NEWCASTLE TYNE NE1 7RU,TYNE & WEAR,ENGLAND
[2] UNIV NEWCASTLE UPON TYNE,ENGN DESIGN CTR,NEWCASTLE TYNE NE1 7RU,TYNE & WEAR,ENGLAND
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1080/09544829708907962
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper reports the application of an evidential reasoning approach to design selection of retro-fit options for complex engineering produces. The particular selection problem investigated in this paper is initially modelled by means of techno-economic analysis and may be viewed as a multiple-attribute decision-making problem with a hierarchical structure of attributes which may be measured for each design option using numerical values or subjective judgements with uncertainty. In this paper, the evaluation model is discussed first. Techniques for articulating original evaluation data are also explored. The evidential reasoning approach, which has been developed on the basis of decision theory and the Dempster-Shafer theory in artificial intelligence, is then summarized. A real-world design selection problem involving the retro-fitting of a typical short sea ferry is then examined in detail using the approach.
引用
收藏
页码:211 / 230
页数:20
相关论文
共 50 条
  • [11] Robust evidential reasoning approach with unknown attribute weights
    Fu, Chao
    Chin, Kwai-Sang
    KNOWLEDGE-BASED SYSTEMS, 2014, 59 : 9 - 20
  • [12] Multiple-attribute decision making under uncertainty: The evidential reasoning approach revisited
    Huynh, Van-Nam
    Nakamori, Yoshiteru
    Ho, Tu-Bao
    Murai, Tetsuya
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (04): : 804 - 822
  • [13] An Evidential Reasoning Based Multiple Attribute Decision Making Approach Under Fixed Attributes
    Zhou, Mi
    Liu, Xin-Bao
    Xu, Wen-Jing
    Yang, Jian-Bo
    2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015, : 29 - 34
  • [14] Induced Ordered Weighted Evidential Reasoning Approach for Multiple Attribute Decision Analysis with Uncertainty
    Yao, Shuang
    Huang, Wei-Qiang
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2014, 29 (10) : 906 - 925
  • [15] Reply to the note on article "The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees"
    Wang, Ying-Ming
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 197 (02) : 813 - 817
  • [16] Identity and attribute information fusion using evidential reasoning
    Bosse, E
    Simard, MA
    SENSOR FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS, 1997, 3067 : 38 - 49
  • [17] Using an evidential reasoning approach for portfolio assessments in a project-based learning engineering design course
    Jaeger, Martin
    Adair, Desmond
    EUROPEAN JOURNAL OF ENGINEERING EDUCATION, 2015, 40 (06) : 638 - 652
  • [18] An Extended Evidential Reasoning Algorithm for Multiple Attribute Decision Analysis with Uncertainty
    Jiao, Lianmeng
    Geng, Xiaojiao
    Pan, Quan
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 1268 - 1273
  • [19] On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
    Yang, JB
    Xu, DL
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2002, 32 (03): : 289 - 304
  • [20] An evidential reasoning approach to attribute value conflict resolution in database integration
    Lim, EP
    Srivastava, J
    Shekhar, S
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1996, 8 (05) : 707 - 723