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Apipattanavis, S, Sabol, K, Molenaar, K R, Rajagopalan, B, Xi, Y, Blackard, B and Patil, S (2010) Integrated Framework for Quantifying and Predicting Weather-Related Highway Construction Delays. Journal of Construction Engineering and Management, 136(11), 1160–8.

Ashuri, B and Lu, J (2010) Time Series Analysis of ENR Construction Cost Index. Journal of Construction Engineering and Management, 136(11), 1227–37.

Bhargava, A, Anastasopoulos, P C, Labi, S, Sinha, K C and Mannering, F L (2010) Three-Stage Least-Squares Analysis of Time and Cost Overruns in Construction Contracts. Journal of Construction Engineering and Management, 136(11), 1207–18.

Blackman, I Q and Picken, D H (2010) Height and Construction Costs of Residential High-Rise Buildings in Shanghai. Journal of Construction Engineering and Management, 136(11), 1169–80.

Chen, J, Su, M and Huang, D (2010) Application of a SOM-Based Optimization Algorithm in Minimizing Construction Time for Secant Pile Wall. Journal of Construction Engineering and Management, 136(11), 1189–95.

Lingard, H, Francis, V and Turner, M (2010) Work-Family Conflict in Construction: Case for a Finer-Grained Analysis. Journal of Construction Engineering and Management, 136(11), 1196–206.

Marsh, K and Fayek, A R (2010) SuretyAssist: Fuzzy Expert System to Assist Surety Underwriters in Evaluating Construction Contractors for Bonding. Journal of Construction Engineering and Management, 136(11), 1219–26.

  • Type: Journal Article
  • Keywords: Bids; Bonding; Construction; Contractors; Expert systems; Fuzzy sets; Knowledge-based systems; Questionnaires; Bids; Bonding; Construction; Contractors; Expert systems; Fuzzy sets; Knowledge-based systems; Questionnaires;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000224
  • Abstract:
    In construction, many owners mitigate the risk of unforeseen contractor default by accepting only bonded contractors who must endure a rigorous evaluation process by surety brokers and surety underwriters. This evaluation process includes a financial analysis and a review of work on hand and past performance, all of which have reliable structured methods for their evaluation. Additionally, a number of subjective criteria are considered that are more difficult to capture and assess objectively but which can be modeled effectively using fuzzy logic. The purpose of this paper is to illustrate how fuzzy logic and expert systems can be combined to provide a structured approach to evaluating contractors for surety underwriting purposes. Fuzzy logic is used to model both the objective and subjective factors considered in contractor evaluation using linguistic terms, and expert rules are used to capture the surety experts’ reasoning process. A fuzzy expert system, SuretyAssist, is presented that can be used to provide an initial evaluation of general contractors as well as periodic reviews to determine whether or not to accept them as clients for bonding. SuretyAssist was validated using 31 actual cases of contractor evaluation and found to be accurate in 81% of the cases.

Shepherd, S and Woskie, S R (2010) Case Study to Identify Barriers and Incentives to Implementing an Engineering Control for Concrete Grinding Dust. Journal of Construction Engineering and Management, 136(11), 1238–48.

Thal, A E, Cook, J J and White, E D (2010) Estimation of Cost Contingency for Air Force Construction Projects. Journal of Construction Engineering and Management, 136(11), 1181–8.