A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Kahraman, Cengiz; Kaya, İ̇hsan

doi:10.3846/13923730.2012.720932

Cited by 19 publications

(15 citation statements)

References 28 publications

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“…Therefore, at each α-level, the ranking of alternatives is determined as IB-B > IB-A > IB-C. 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.…”

Section: Applicationsupporting

confidence: 85%

“…According to Kahraman and Kaya [17], the linguistic scales introduced in Section 3 are used to evaluate all criteria. Furthermore, alternatives for intelligent building assessment are evaluated by using four experts' opinions in this real case application.…”

Section: Applicationmentioning

confidence: 99%

“…Some researchers employed the fuzzy set theory and MCDM models to assess the intelligent building alternatives. For instance, Kahraman and Kaya [17] proposed a fuzzy multiple attribute utility (MAUT) model for an intelligent building evaluation. Furthermore, Kaya and Kahraman [18] proposed fuzzy TOPSIS and fuzzy AHP for intelligent building assessment.…”

Section: Introductionmentioning

confidence: 99%

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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: 85%

Section: Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…The methodology was applied in working capital requirements estimation in a real-world road construction project. Kahraman and Kaya (2012) developed a fuzzy multiple attribute utility model for intelligent building assessment. The evaluation of three alternative intelligent buildings for a business center in Istanbul was performed within the application of their model.…”

Section: Literature Reviewmentioning

confidence: 99%

Maximizing the Value of Residential Projects Using Fuzzy Rule Based Linear Programming

Üstündağ

Çevikcan

2016

Journal of Civil Engineering and Management

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Abstract. Optimizing the allocation of residence types has a great impact on efficient management of resources for construction projects. Hence, determining appropriate allocation of residence types provides effective financial activities, especially for large-scaled residential projects. Subjectivity and vagueness in the determination of price per m 2 for residences requires the consideration of fuzzy logic, since the modeling of imprecise and qualitative knowledge, as well as the transmission and handling of uncertainty at various stages are possible through the use of fuzzy sets. This study proposes an approach that integrates Fuzzy Rule Based System (FRBS) with mathematical programming. In the proposed hybrid approach, FRBS is used to set price per square meter and it provides input for Net Present Value (NPV) formulation. Mixed integer linear programming (MILP) model is developed for the maximization of (NPV) of the project. The proposed model is applied to a residential project in Istanbul to demonstrate its performance. The optimal NPVs and allocation results for four types of residences are analyzed depending on the different factor levels of total construction area, sales rate and bank loan interest rate. The results indicate that the optimal NPV and allocation of residences are significantly influenced by the factor of construction area.

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“…Natividade-Jesus et al (2007) developed a decision support system consisting of a problem editor, a database management module, a set of multi-criteria decision aid methods and a human-computer interface for housing project evaluation. Kahraman and Kaya (2012) applied a fuzzy multi-attribute utility model for assessing three alternative intelligent buildings for a business center in Istanbul. Mulliner et al (2013) presented the application of COPRAS method in order to measure the affordability of different housing locations while taking into account various economic, environmental and social criteria.…”

Section: Introductionmentioning

confidence: 99%

Application of TODIM (TOmada de Decisao Interativa Multicriterio) method for under-construction housing project selection in Kolkata

Chakraborty¹,

Chakraborty²

2018

10.5267/j.jpm

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The paper focuses on the application of TODIM (TOmada de Decisao Interativa Multicriterio), which means in Portuguese 'interactive and multi-criteria decision making') method in identifying the most attractive and affordable under-construction housing project in the city of Kolkata in India. In this decision making problem, 14 under-construction housing projects spanning in and around Kolkata are evaluated with respect to ten important criteria. The deployment of TODIM method can well be validated with respect to its ability to deal with both qualitative and quantitative criteria in the presence of risk factors. This method is also acknowledged to be a robust tool being almost unaffected by the varying values of the attenuation factor of losses. Using TODIM method, an under-construction housing project at Rajarhat in the eastern fringes of Kolkata city is selected as the optimal choice while meeting the requirements of investors, inhabitants and other stakeholders.

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A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Cited by 19 publications

References 28 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

Maximizing the Value of Residential Projects Using Fuzzy Rule Based Linear Programming

Application of TODIM (TOmada de Decisao Interativa Multicriterio) method for under-construction housing project selection in Kolkata

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