CP-DSS: DECISION SUPPORT SYSTEM FOR CONTRACTOR PREQUALIFICATION
نویسندگان
چکیده
منابع مشابه
Cp - Dss : Decision Support System for Contractor Prequalification
A prototype decision support/expert system for contractor prequalification, CP-DSS, is described. The system firstly evaluates contractors' capabilities according to project specific criteria. It then identifies any risks that may be caused by contractors. Finally, contractors are appraised according to their likely performance, management capability, reputation, resources, progress, competitiv...
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Given that contractor plays a critical role in any construction project, contractor selection constitutes key decision for public authorities. Prequalification, i.e. the elimination of incompetent contractors from the bidding process according to a predetermined set of criteria, is a frequently practiced procedure in many countries, including Greece. In order to enhance the performance levels o...
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Analytical hierarchy process (AHP) as multiple criteria decision making tools can be used in the problems with spatial nature like selection of construction contractor. In this study the application of AHP and its weakness and strength and ultimately the fuzzy modified analytical hierarchy process (FAHP) is proposed after the concept of fuzziness, uncertainty and vagueness. A triangular fuzzy u...
متن کاملCOVER SHEET Ng , Thomas and Skitmore
The paper describes a prototype decision support/expert system for contractor prequalification, CP-DSS. The system firstly evaluates contractors' capabilities according to the project specific criteria. It then identifies any risk that may be caused by contractors. Finally, contractors are appraised according to their likely performance, management capability, reputation, resources, progress, c...
متن کاملA Fuzzy Neural Network Approach for Contractor Prequalification
Nonlinearity, uncertainty and subjectivity are the three predominant characteristics of contractors prequalification which cause the process more of an art than a scientific evaluation. A fuzzy neural network (FNN) model, amalgamating both the fuzzy set and neural network theories, has been developed aiming to improve the objectiveness of contractor prequalification. Through the FNN theory, the...
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ژورنال
عنوان ژورنال: Civil Engineering Systems
سال: 1995
ISSN: 0263-0257
DOI: 10.1080/02630259508970164