On the use of fuzzy clustering in construction simulation

被引:0
|
作者
Marzouk, M [1 ]
Moselhi, O [1 ]
机构
[1] Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ H3G 1M8, Canada
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a methodology that integrates fuzzy clustering and computer simulation and demonstrates its use in modeling earthmoving operations. A simulation system (SimEarth) was developed to model earthmoving operations utilizing object-oriented features and discrete event simulation. Fuzzy clustering is used to provide realistic estimates of haulers' travel time so as to improve the accuracy of the simulation results. A case study involving the construction of a dam is presented to illustrate the capabilities the proposed simulation engine and the developed fuzzy clustering methodology for estimating haulers' travel time.
引用
收藏
页码:1547 / 1555
页数:9
相关论文
共 50 条
  • [31] The use of simulation for construction elements manufacturing
    Vern, K
    Gunal, A
    1998 WINTER SIMULATION CONFERENCE PROCEEDINGS, VOLS 1 AND 2, 1998, : 1273 - 1277
  • [32] USE OF SIMULATION MODELS IN CONSTRUCTION.
    Pilcher, R.
    Flood, I.
    1600, (76):
  • [33] Toward the use of quantile fuzzy transforms for the construction of fuzzy association rules
    Madrid, Nicolas
    2020 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2020,
  • [34] Automatic clustering method for real-time construction simulation
    Hung, Wei-Han
    Kang, Shih-Chung Jessy
    ADVANCED ENGINEERING INFORMATICS, 2014, 28 (02) : 138 - 152
  • [35] Structural fuzzy Petri nets for use in simulation of fuzzy systems
    Fatkhi, DV
    AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2002, 36 (03) : 34 - 41
  • [36] Construction of interpretable and precise fuzzy models using fuzzy clustering and multi-objective genetic algorithm
    Xing, Zong-Yi
    Hou, Yuan-Long
    Zhang, Yong
    Jia, Li-Min
    Gao, Qiang
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 1954 - +
  • [37] Fuzzy comprehensive evaluation of simulation credibility based on fuzzy clustering analysis and rough sets theory
    Wu, Jing
    Wu, Xiao-Yan
    Gao, Zhong-Chang
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2010, 32 (04): : 770 - 773
  • [38] Multicontext Fuzzy Clustering: Toward Interpretable Fuzzy Clustering
    Alateeq, Majed
    Pedrycz, Witold
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (12) : 6720 - 6730
  • [39] Use of clustering to improve performance in fuzzy gene expression analysis
    Reynolds, R
    Ressom, H
    Musavi, MT
    Domnisoru, C
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 2738 - 2743
  • [40] A fuzzy clustering application to land use classification in satellite images
    Benedikt, J
    Nishiwaki, Y
    FUZZY LOGIC AND INTELLIGENT TECHNOLOGIES FOR NUCLEAR SCIENCE AND INDUSTRY, 1998, : 368 - 375