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Saati, Saber; Memariani, Azizollah; Jahanshahloo, G. R.

doi:10.1023/a:1019648512614

Cited by 196 publications

(28 citation statements)

References 18 publications

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“…This ranking result is also consistent with that obtained by fuzzy MAUT introduced by Kahraman and Kaya [17], and fuzzy TOPSIS and fuzzy AHP developed in [18]. As highlighted in [20], the higher value for α is better. Therefore, the results obtained under α=1 are of interest.…”

Section: Applicationsupporting

confidence: 88%

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

Loron

Peyvandi

2015

Teh. vjesn.

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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. Keywords: decision making; FAHP, FDEA; fuzzy set theory; intelligent building assessment Integrirana metoda fuzzy analitičkog hijerarhijskog postupka i fuzzy analize podataka grupe (FAHP-FDEA) u ocjenjivanju inteligentne zgradeIzvorni znanstveni članak Zadnjih su godina u projektiranju i izgradnji građevina organizacije i istraživači usredotočeni na ocjenu inteligentne zgrade. Performanse inteligentnih zgrada (IB) mjere se na temelju karakteristika koje se odnose na IB i stvarnih okolnosti. U ovom se radu koristi teorija fuzzy niza, analitički hijerarhijski postupak (AHP) i analiza podataka grupe (data envelopment analysis -DEA), i nudi integrirana fuzzy AHP-fuzzy DEA (FAHP-FDEA) metoda za ocjenu inteligentne zgrade. Primjenjuje se teorija fuzzy niza za modeliranje nepreciznih i neodređenih podataka ocjenjivačkih kriterija. Budući da su oni od različite važnosti u postupku ocjenjivanja, za određivanje težine kriterija primjenjuje se FAHP. Tada se težina kriterija uključuje u FDEA model kako bi se dobila ocjena performanse inteligentne zgrade. Čistom fuzzy AHP metodom moguće je usporediti samo vrlo ograničen broj alternativa za donošenje odluke dok se predloženom FAHP-FDEA metodom može rangirati ogroman broj alternativa. Razmotrena je analiza slučaja uzetog iz literature da bi se pokazala primjenjivost i učinkovitost predloženog modela FAHP-FDEA. Rezultati su potvrdili da se predloženom metodom dobivaju rezultati u skladu s postojećim metodama u literaturi. Uz to, predloženom se metodom omogućuje da donosioci odluke rezultate donesu u skladu s težnjama.

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Section: Applicationsupporting

confidence: 88%

“…In this manner, fuzzy set theory is a well-known approach to handle the imprecise and inexact data. In this section, we briefly introduce the Fuzzy DEA (FDEA) model developed by Saaty et al [20] …”

Section: Fuzzy Dea Methodsmentioning

confidence: 99%

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

Loron

Peyvandi

2015

Teh. vjesn.

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“…Their method found approximately the membership functions of the fuzzy efficiency obtained by the application of the  -level approach and Zadeh's extension principle [30], [31]. Saati et al [32] suggested a fuzzy CCR model as a possibilistic programming problem and transformed it into an interval programming problem using  -level based approach. The resulting interval programming problem could be solved as a crisp LP model for a given  with some variable substitutions.…”

Section: Dea and Fdea Modelsmentioning

confidence: 99%

Assessing the Efficiency of commercial Tunisian Banks using Fuzzy Data Envelopment Analysis

Tlig¹,

Hamed²

2017

Data Envelopment Analysis and Decision Science

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The banking sector is of great importance to Tunisian's economy. Major commercial banks continue to spend high proportion of their budgets on new technologies and innovation in order to satisfy their customers and enhance their competitiveness. Consequently, performance analysis has become part of their management practices.This paper aims to evaluate the efficiency of commercial Tunisian banks in terms of several crisp and imprecise data. Two approaches of fuzzy data envelopment analysis (FDEA), the possibility approach and the approach based on relations between fuzzy numbers (BRONF), are used to obtain the efficiency score of each bank. The results show that, in a competitive environment, no-financial inputs and outputs should be taken into account in order to obtain credible and realistic efficiency scores.

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“…Thus fuzzy DEA provide a powerful tool to solve the vague or imprecise information. Meanwhile, a great of works has already been done in many fields [18][19][20][21].…”

Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

Multi-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis Approach

Chen¹,

Wang²

2017

Adv. sci. technol. eng. syst. j.

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Cited by 196 publications

References 18 publications

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

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

Assessing the Efficiency of commercial Tunisian Banks using Fuzzy Data Envelopment Analysis

Multi-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis Approach

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