Uncertainty analysis in construction conflict resolution using information-gap theory

被引:0
|
作者
Kassab, Moustafa [1 ]
Hipel, Keith W. [1 ]
Hegazy, Tarek [2 ]
机构
[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
[2] Univ Waterloo, Dept Civil & Environm Engn, Waterloo, ON N2L 3G1, Canada
来源
2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8 | 2007年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Conflicts are common in almost all construction projects, and improper handling of such conflicts can result in cost overruns and delays. To reach a satisfactory resolution to a conflict, it is necessary to carefully negotiate a resolution that considers the adverse and often uncertain preferences of the various parties involved. To support this difficult process, this paper introduces a practical framework for resolving construction conflicts using the Graph Model for Conflict Resolution. The framework uses Information-Gap theory to identify the most robust resolution in the presence of the uncertainty associated with decision makers' preferences. An example application of a construction conflict is presented to illustrate the details of the uncertainty analysis and to demonstrate the framework's usefulness and practicality for construction conflict resolution.
引用
收藏
页码:2773 / +
页数:2
相关论文
共 50 条
  • [1] The graph model for conflict resolution with information-gap uncertainty in preferences
    Ben-Haim, Y
    Hipel, KW
    APPLIED MATHEMATICS AND COMPUTATION, 2002, 126 (2-3) : 319 - 340
  • [2] Design certification with information-gap uncertainty
    Ben-Haim, Y
    STRUCTURAL SAFETY, 1999, 21 (03) : 269 - 289
  • [3] Portfolio management under epistemic uncertainty using stochastic dominance and information-gap theory
    Berleant, D.
    Andrieu, L.
    Argaud, J.-P.
    Barjon, F.
    Cheong, M.-P.
    Dancre, M.
    Sheble, G.
    Teoh, C.-C.
    International Journal of Approximate Reasoning, 2008, 49 (01): : 101 - 116
  • [4] Portfolio management under epistemic uncertainty using stochastic dominance and information-gap theory
    Berleant, D.
    Andrieu, L.
    Argaud, J. -P.
    Barjon, F.
    Cheong, M. -P.
    Dancre, M.
    Sheble, G.
    Teoh, C. -C.
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2008, 49 (01) : 101 - 116
  • [5] Using Information-Gap Decision Theory for Water Resources Planning Under Severe Uncertainty
    Brett Korteling
    Suraje Dessai
    Zoran Kapelan
    Water Resources Management, 2013, 27 : 1149 - 1172
  • [6] Trading indicators with information-gap uncertainty
    Thompson, Colin J.
    Guttmann, Anthony J.
    Thompson, Ben J. P.
    JOURNAL OF RISK FINANCE, 2008, 9 (05) : 467 - 476
  • [7] Design certification with information-gap uncertainty
    Faculty of Mechanical Engineering, Technion, Israel Institute of Technology, Haifa, 32000, Israel
    Struct Saf, 3 (269-289):
  • [8] Using Information-Gap Decision Theory for Water Resources Planning Under Severe Uncertainty
    Korteling, Brett
    Dessai, Suraje
    Kapelan, Zoran
    WATER RESOURCES MANAGEMENT, 2013, 27 (04) : 1149 - 1172
  • [9] Erratum to: Using Information-Gap Decision Theory for Water Resources Planning Under Severe Uncertainty
    Brett Korteling
    Suraje Dessai
    Zoran Kapelan
    Water Resources Management, 2013, 27 (4) : 1173 - 1174
  • [10] Evaluation of the Mini-Models Robustness to Data Uncertainty with the Application of the Information-Gap Theory
    Plucinski, Marcin
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II, 2013, 7895 : 230 - 241