Multi Criteria Decision Making with Evidential Reasoning Under Uncertainty

被引:0
|
作者
Ahmadzadeh, F. [1 ]
机构
[1] Malardalen Univ, Dept Innovat Design & Engn, Eskilstuna, Sweden
来源
2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM) | 2016年
关键词
Evidential reasoning; uncertainty; decision criteria; prioritization;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Many decision problems have more than one objective that need to be dealt with simultaneously. Moreover, because of the qualitative nature of the most of real world problem it is an inevitable activity and very important to interpret and present the uncertain information for making effective decision. The Evidential Reasoning (ER) approach which is one of the latest development within multi criteria decision making (MCDM) seems to be the best fit to synthesize both qualitative and quantitative data under uncertainty. To support this claim, two case studies were tested to illustrate the application of ER for prioritization and ranking of decision alternative to support decision process even with uncertain information. The importance of having a better structured decision process is essential for the success of any organization, so it can be applied widely in most of real world problem dealing with making effective decision.
引用
收藏
页码:1534 / 1538
页数:5
相关论文
共 50 条
  • [31] A Deng-Entropy-Based Evidential Reasoning Approach for Multi-expert Multi-criterion Decision-Making with Uncertainty
    Liao, Huchang
    Ren, Zhongyuan
    Fang, Ran
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2020, 13 (01) : 1281 - 1294
  • [32] Evidential Reasoning Approach for Multiattribute Decision Analysis Under Both Fuzzy and Interval Uncertainty
    Guo, Min
    Yang, Jian-Bo
    Chin, Kwai-Sang
    Wang, Hong-Wei
    Liu, Xin-Bao
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2009, 17 (03) : 683 - 697
  • [33] Evidential reasoning based preference programming for multiple attribute decision analysis under uncertainty
    Guo, Min
    Yang, Jian-Bo
    Chin, Kwai-Sang
    Wang, Hongwei
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 182 (03) : 1294 - 1312
  • [34] Nonlinear information aggregation via evidential reasoning in multiattribute decision analysis under uncertainty
    Yang, JB
    Xu, DL
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2002, 32 (03): : 376 - 393
  • [35] Reasoning and Decision Making under Uncertainty and Risk for Situation Management
    Rogova, Galina L.
    Ilin, Roman
    2019 IEEE INTERNATIONAL CONFERENCE ON COGNITIVE AND COMPUTATIONAL ASPECTS OF SITUATION MANAGEMENT (COGSIMA), 2019, : 34 - 42
  • [36] Learning and Reasoning for Robot Sequential Decision Making under Uncertainty
    Amiri, Saeid
    Shirazi, Mohammad Shokrolah
    Zhang, Shiqi
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 2726 - 2733
  • [37] SUPPORT IN MULTI-CRITERIA DECISION-MAKING UNDER UNCERTAINTY IN A TRANSPORT COMPANY
    Banas, Joanna
    Tomaszewska, Karina
    OPERATIONS RESEARCH AND DECISIONS, 2013, 23 (02) : 11 - 23
  • [38] Data-driven preference learning in multiple criteria decision making in the evidential reasoning context
    Fu, Chao
    Xue, Min
    Liu, Weiyong
    Xu, Dongling
    Yang, Jianbo
    APPLIED SOFT COMPUTING, 2021, 102
  • [39] Evidential Reasoning approach for multiple-criteria decision making: A simulation-based formulation
    Ngan, Shing-Chung
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (09) : 4381 - 4396
  • [40] A Chance Constrained Programming Based Multi-Criteria Decision Making Under Uncertainty
    Pantula, Priyanka D.
    Miriyala, Srinivas S.
    Mitra, Kishalay
    2019 FIFTH INDIAN CONTROL CONFERENCE (ICC), 2019, : 359 - 364