Abstract: The paper presents a hybrid soft computing system for mining of complex construction databases. The proposed approach hybridizes soft computing techniques, such as fuzzy logic, artificial neural networks (ANNs), and messy ...

Abstract: Cost estimation during early stage of a building construction project plays an important role for feasibility analysis in the planning and design phase. Traditional knowledge-based approaches suffer an essential difficulty ...

Abstract: In contrast to traditional price-dominated lowest bid (LB) procurements, best value (BV) procurements select contractors most advantageous to the clients, taking into consideration not only prices but also other factors. ...

Abstract: Statistics show that novice and experienced construction workers face different risks of construction accidents. However, there is very little work on this topic. This study conducted empirical experiments to quantifying ...

Abstract: Unlike the traditional price-focused lowest bid (LB), the best value (BV) tendering process selects the contractor that offers a product or service that is most beneficial to the procurement entity in various aspects. ...

Abstract: Managers of construction organizations have long been faced with the essential question of whether the knowledge management system (KMS) is truly cost effective. Very few empirical studies have been conducted to measure ...

Abstract: Selection of the most appropriate contractor is critical for a successful project. There has been no practical analytic model for objective determination of the most appropriate contractor selection method (CSM) before the ...

Abstract: Engineering consulting (EC) firms in the construction industry are knowledge-intensive and experience-based organizations. As the knowledge accumulated from previous experiences is the essential asset for wining and managing ...