AN INTEGRATED FUZZY ANALYTIC HIERARCHY PROCESS-FUZZY DATA ENVELOPMENT ANALYSIS (FAHP-FDEA) METHOD FOR INTELLIGENT BUILDING ASSESSMENT

Original scientific paper In the recent years, organizations and researchers have been focused on the intelligent building assessment in building design and construction. The performance of intelligent buildings (IBs) is measured based on the IB related characteristics and actual circumstances. This paper utilizes the fuzzy set theory, analytic hierarchy process (AHP), and data envelopment analysis (DEA), and offers an integrated fuzzy AHP-fuzzy DEA (FAHP-FDEA) method for intelligent building assessment. The fuzzy set theory is used to model the imprecise and vague data of the evaluation criteria. Since, the evaluation criteria have different importance in the evaluation process; FAHP is employed to determine the weight of criteria. Then, the weight of criteria is incorporated to a FDEA model to measure the intelligent buildings ’ performance. The pure fuzzy AHP method can only compare a very limited number of decision alternatives, while the proposed FAHP-FDEA can rank a huge number of alternatives. A case study taken from the literature is considered to show applicability and effectiveness of the proposed FAHP-FDEA model. The results affirmed that the proposed method provides the consistent results with the existing methods in the literature. In addition, the proposed method enables decision makers to determine the results under different aspiration levels