Title: A fuzzy expert system model for risks qualification in real estate projects
Authors: Mohamed Marzouk; Ahmed Aboushady
Addresses: Structural Engineering Department, Faculty of Engineering, Cairo University, Giza, 12613, Egypt ' Building and Construction Department, Faculty of Engineering, 6 October University, Giza, Egypt
Abstract: This paper presents a fuzzy expert system (FES) model to determine qualifications of real estate experts in field of risk management in developing countries. The model computes the importance weight factor for the experts who participate in risk qualification process, based on a number of attributes. FES model contributes to real estate industry by solving a fundamental problem for project teams who lack the capability of determining experts' qualifications impact on the quality of their risk assessments. FES model adds an essential component to risk management process by providing a tool that captures the knowledge of project management teams, in the form of expert rules, to compute a unique value that ranks the experts participated in the risk assessment process. A case study in Egypt is presented to test validity of the model.
Keywords: fuzzy expert system; FES; membership functions; risk management; real estate projects; qualification process; fuzzy logic; real estate development; modified horizontal approach; interpolation technique; construction economics.
International Journal of Sustainable Real Estate and Construction Economics, 2018 Vol.1 No.2, pp.142 - 163
Received: 25 Aug 2017
Accepted: 02 Oct 2017
Published online: 12 Jun 2018 *