A fuzzy neural network approach for contractor prequalification

Construction Management and Economics

Volumn 19, Issue 2, 2001, Pages 175-188

  Lam, K C ^a   Hu, T ^a   Ng, S T ^a   Skitmore, M ^a   Cheoung, S O ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Contractor prequalification; Fuzzy reasoning; Neural network

Indexed keywords

CONTRACTORS; FEEDFORWARD NEURAL NETWORKS; FUZZY INFERENCE; FUZZY LOGIC; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS;

CONTRACTOR PRE-QUALIFICATION; DECISION CRITERIONS; ENGINEERING CONTRACTORS; FUZZY NEURAL NETWORK MODEL; FUZZY REASONING; MEAN ABSOLUTE PERCENTAGE ERROR; PRE-QUALIFICATION; SCIENTIFIC EVALUATIONS;

FUZZY NEURAL NETWORKS;

CIVIL ENGINEERING; FUZZY MATHEMATICS; METHODOLOGY;

CHINA; HONG KONG;

EID: 0035282199     PISSN: 01446193     EISSN: None     Source Type: Journal    
DOI: 10.1080/01446190150505108     Document Type: Article

References (34)

1. Fuzzy neural networks: A survey
2. Neural network method of estimating construction technology acceptability
3. Estimating construction productivity: Neural network-based approach
4. Cost-plus contractor selection
5. Forecasting residential construction demand in Singapore: A comparative study of the accuracy of time series, regression and artificial neural network techniques
6. Assessment and evaluation of contractor data against client goals using PERT approach
7. Criteria for contractor selection
8. Contractor selection using multicriteria utility theory: An additive model
9. Fuzzy neural network with fuzzy signals and weights
10. Analogy-based solution to mark-up estimation problem
11. Evaluating prequalification criteria in contractor selection
12. On fuzzy modelling using fuzzy neural networks with back-propagation algorithm
13. Optimal allocation of project management resources for achieving construction project success
14. A fuzzy system for bid proposal evaluation using microcomputers
15. Neural network model for contractors' pre-qualification for local authority projects
16. A modelling of financial decisions in a construction firm
17. Decision support system for contractor prequalification - Artificial neural network model
18. Modelling loan acquisition decisions
19. Cross-validation with active patter selection for neural network classifiers
20. ANN-based mark-up estimation system with self-explanatory capacities
21. The fuzzy associative memory of max-min fuzzy neural network with threshold
22. Neural networks as tools in construction
23. Decision-makers' perceptions in the formulation of prequalification criteria
24. Tender evaluation by fuzzy sets
25. Decision models for analysis and evaluation of construction contractors
26. Decision criteria in contractor prequalification
27. Fuzzy identification of system and its applications to modelling and control
28. Recurrent neurofuzzy networks for nonlinear process modelling