Adaptive Learning of Contractor Default Prediction Model for Surety Bonding

Faculty Engineering Year: 2012
Type of Publication: ZU Hosted Pages:
Authors:
Journal: American Society of Civil Engineers University of Alberta Volume:
Keywords : Adaptive Learning , Contractor Default Prediction Model    
Abstract:
its knowledge base parameters (membership functions and rule bases). The main contribution of this paper is in presenting a methodology to integrate an FES with adaptation/optimization techniques and applying the data-based adaptive learnin
   
     
 
       

Author Related Publications

  • Adel Lotfy Saleeb Awad, "Measuring the Efficiency of Construction Claim Administration in Construction Companies in Egypt", Zagazig University, 2006 More
  • Adel Lotfy Saleeb Awad, "A Decision Support System for Contractor Prequalification for Surety Bonding", University of Alberta, 2011 More
  • Adel Lotfy Saleeb Awad, "Contractor Default Prediction Model for Surety Bonding", University of Alberta, 2012 More
  • Adel Lotfy Saleeb Awad, "Hybrid Intelligent Decision Support System for Surety Underwriting in the Construction Industry", University of Alberta, 2012 More
  • Adel Lotfy Saleeb Awad, "DEVELOPING A FRAMEWORK FOR CONSTRUCTION CONTRACTOR QUALIFICATION FOR SURETY BONDING", University of Alberta, 2010 More

Department Related Publications

  • Ahmed Hessien Mahmoud Mohamed Elyamany, "A Performance Evaluating Model For Construction Companies: Egyptian Case Study", ASCE, 2008 More
  • Ahmed Abdelaaty Gaballah Elsayaad, "Construction of Ameria Caisson in Egypt", Journal of Construction Engineering and Management, ASCE, 1995 More
  • Ismaiel Abdelhamied Mohamed Basha, "Construction of Ameria Caisson in Egypt", Journal of Construction Engineering and Management, ASCE, 1995 More
  • Mohamed Ismail Ahmed Amer, "Construction of Ameria Caisson in Egypt", Journal of Construction Engineering and Management, ASCE, 1995 More
  • Ahmed Abdelaaty Gaballah Elsayaad, "Measuring Important Factors Affecting Construction Projects Duration", Journal of Al Azhar Univ. Eng. Sector, 2014 More
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