Conceptual cost estimates are important to project feasibility studies and impact upon final
project success. Such estimates provide significant information that can be used in project …

Conceptual cost estimates, the basis of project evaluation, engineering design, cost
budgeting, and cost management, not only play an essential role in construction project …

This paper developed an evolutionary fuzzy hybrid neural network (EFHNN) to enhance
project cash flow management. Neural networks (NN) and high order neural networks …

This paper developed an evolutionary fuzzy hybrid neural network (EFHNN) to enhance the
effectiveness of assessing subcontractor performance in the construction industry. The …

Construction projects are, by their very nature, challenging; and project decision makers
must work successfully within an environment that is frequently complex and fraught with …

Fuzzy production rules (FPRs) have been used for years to capture and represent fuzzy,
vague, imprecise and uncertain domain knowledge in many fuzzy systems. There have …

Problems in geotechnical engineering are full of uncertain, vague, and incomplete
information. In most instances, successfully solving such problems depends on experts' …

This paper develops an evolutionary fuzzy hybrid neural network (EFHNN) to enhance
project cash flow management. The developed EFHNN combines neural networks (NN) and …

Problems in construction management are complex, full of uncertainty, and vary with
environment. Fuzzy logic, neural networks, and genetic algorithms (GAs) have been …

Problems in construction management are complex, full of uncertainty, and vary with
environment. Fuzzy logic (FL), neural networks (NNs), and genetic algorithms (GAs) have …