Cost estimation model for residential buildings: A fuzzy expert system

Abstract. Cost estimation is essential and one of the most challenging tasks in construction projects. In this field, inaccurate cost estimation and subsequent budget failures are common. Therefore, this study aims to develop a construction cost estimation model for residential buildings using real-life cost data sets collected from Bangladesh. Accordingly, a cost estimation model using the “Fuzzy Expert System” through MATHLAB fuzzy toolbox is developed. The model is demonstrated to predict the cost of a building project and is validated through error analysis. The error analysis shows that the model can estimate the construction cost of a residential building with an error margin of no more than 20%, which is an acceptable limit for preliminary project budgeting. The study's findings assist cost estimators in preparing budgeted costs and guide project owners in making informed decisions to allocate budgets and monitor and control project costs from initiation to execution phases. This study will further extend to develop a comprehensive cost model applicable to real-life buildings and other construction projects.