A fuzzy neural network approach for contractor prequalification
نویسندگان
چکیده
منابع مشابه
A 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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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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ژورنال
عنوان ژورنال: Construction Management and Economics
سال: 2001
ISSN: 0144-6193,1466-433X
DOI: 10.1080/01446190150505108