Modelling grey uncertainty with Fuzzy Grey Cognitive Maps

被引:128
|
作者
Salmeron, Jose L. [1 ]
机构
[1] Univ Pablo de Olavide, Sch Engn, Seville 41013, Spain
关键词
Fuzzy Cognitive Maps; Uncertainty; Grey Systems Theory; Decision support; MANAGEMENT; SUCCESS;
D O I
10.1016/j.eswa.2010.04.085
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An innovative and flexible model based on Grey Systems Theory and Fuzzy Cognitive Maps called Fuzzy Grey Cognitive Maps (FGCM) is proposed. It can be adapted to a wide range of problems, specially in multiple meaning-based environments. FGCMs offer some advantages in comparison with others similar tools. First, the FGCM model is defined specifically for multiple meanings (grey) environments. Second, the FGCM technique allows the defining of relationships between concepts. Through this characteristic, decisional models that are more reliable for interrelated environments are defined. Third, the FGCM technique is able to quantify the grey influence of the relationships between concepts. Through this attribute, a better support in grey environments can be reached. Finally, with this FGCM model it is possible to develop a what-if analysis with the purpose of describing possible grey scenarios. IT projects risks are modelled to illustrate the proposed technique. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7581 / 7588
页数:8
相关论文
共 50 条
  • [31] A grey semi-statistical fuzzy modelling of an imperfectly repaired system
    Guo, RK
    [J]. Proceedings of the 4th International Conference on Quality & Reliability, 2005, : 391 - 397
  • [32] Modelling Dynamic Causal Relationship in Fuzzy Cognitive Maps
    Miao, Yuan
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 1013 - 1020
  • [33] Fuzzy and Fuzzy Grey-Box Modelling for Entry Temperature Prediction in a Hot Strip Mill
    Angel Barrios, Jose
    Cavazos, Alberto
    Leduc, Luis
    Ramirez, Jorge
    [J]. MATERIALS AND MANUFACTURING PROCESSES, 2011, 26 (01) : 66 - 77
  • [34] MODELLING A PAY STRUCTURE BY USING GREY RELATIONS ANALYSIS INTEGRATED WITH FUZZY AHP
    Kutlu, Ahmet Can
    [J]. UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2012, 7 : 273 - 278
  • [35] Grey Incidence Decision-making Method of Grey Hesitant Fuzzy Sets Based on Kernel and Grey Degree
    Li Qingsheng
    Zhao Ni
    Liu Sifeng
    [J]. PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2015, : 127 - 133
  • [36] Uncertainty Measurement for a Grey Information System
    Wang, Zhihong
    Li, Zhaowen
    Tang, Hongxiang
    Zhang, Gangqiang
    Xie, Ningxin
    [J]. IEEE ACCESS, 2019, 7 : 169677 - 169696
  • [37] GREY FUZZY INTEGER PROGRAMMING - AN APPLICATION TO REGIONAL WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY
    HUANG, GH
    BAETZ, BW
    PATRY, GG
    [J]. SOCIO-ECONOMIC PLANNING SCIENCES, 1995, 29 (01) : 17 - 38
  • [38] Probabilistic Risk Assessment of RCC Dam Considering Grey-Stochastic-Fuzzy Uncertainty
    Chen, Wenlong
    Wang, Xiaoling
    Liu, Minghui
    Zhu, Yushan
    Deng, Shaohui
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2018, 22 (11) : 4399 - 4413
  • [39] Probabilistic Risk Assessment of RCC Dam Considering Grey-Stochastic-Fuzzy Uncertainty
    Wenlong Chen
    Xiaoling Wang
    Minghui Liu
    Yushan Zhu
    Shaohui Deng
    [J]. KSCE Journal of Civil Engineering, 2018, 22 : 4399 - 4413
  • [40] Supply Chain Production-distribution Cost Optimization under Grey Fuzzy Uncertainty
    刘东波
    陈玉娟
    黄道
    添玉
    [J]. Journal of Donghua University(English Edition), 2008, (01) : 41 - 47