MirMahdi Seyyedesfahani - Department of Industrial Engineering and Management Systems Amirkabir University of Technology, Tehran, Iran
Farnaz Kazempour Moghaddam - Department of Industrial Engineering and Management Systems Amirkabir University of Technology, Tehran, Iran
Zahra Shams Esfandabadi - Department of Industrial Engineering and Management Systems Amirkabir University of Technology, Tehran, Iran

Quality in the construction industry is a function of a wide range of factors among which, those depending on the residents’ viewpoint are of a high importance. This study presents a model for evaluating the performance of mass-constructed residential buildings in Iran in terms of satisfaction of residents, based on an Adaptive Neuro-Fuzzy Inference System (ANFIS), and aims to provide applicable results. The measurement of the quality of buildings and expectations of the occupants is done through collecting and analyzing data using questionnaires. Results show that the satisfaction level with regard to security and privacy in buildings are of a higher importance than other aspects of the buildings and the most important factors determining satisfaction were the type, location and aesthetic appearance of the buildings, which must be considered in designing buildings. Access to energy resources in buildings with regard to resource allocation by government needs to be modified, too.

Mass-constructed residential buildings, Quality assessment, Iran, Adaptive Neuro-Fuzzy Inference System (ANFIS), Security and privacy