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https://doi.org/10.17559/TV-20140428223907

An integrated fuzzy analytic hierarchy process-fuzzy data envelopment analysis (FAHP-FDEA) method for intelligent building assessment

Afshar Sahraei Loron ; Faculty of Civil and Architecture, Science and Research Branch, Islamic Azad University, Semnan, Iran
Mehrdad Sahraei Loron ; Faculty of Design and Architecture, University Putra Malaysia, Malaysia
Ghazal Peyvandi ; Faculty of Civil and Architecture, Science and Research Branch, Islamic Azad University, Semnan, Iran


Puni tekst: hrvatski pdf 549 Kb

str. 383-389

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Puni tekst: engleski pdf 549 Kb

str. 383-389

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Sažetak

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.

Ključne riječi

decision making; FAHP, FDEA; fuzzy set theory; intelligent building assessment

Hrčak ID:

138099

URI

https://hrcak.srce.hr/138099

Datum izdavanja:

22.4.2015.

Podaci na drugim jezicima: hrvatski

Posjeta: 3.264 *