Fuzzy Rank Ordering Weight Based Fuzzy MARCOS Method for Solving Internet Service Provider Selection Problem

Tuş, Ayşegül; Adalı, Esra Aytaç

doi:10.2339/politeknik.881609

Cited by 4 publications

(1 citation statement)

References 36 publications

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“…The method MARCOS, one of the most recent MCDM techniques, was developed by Stević et al The basis of the method MARCOS is based on the definition of the relationship between decision alternatives and reference values, in other words, ideal and anti-ideal decision alternatives [24][25][26] Step 1. Creating the decision matrix…”

Section: Fuzzy Marcos Methodsmentioning

confidence: 99%

Integrated Fuzzy FUCOM And Fuzzy MARCOS Approaches for Housing Location Problem

Emeç¹

2022

BEN

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When choosing a housing, the region in which it is located is as important as the quality of the housing. Depending on a number of factors such as the socio-cultural structure of that region, the services offered, and the opportunities in the surrounding area, the choice of housing location may change. In this context, the aim is to investigate which district is the most suitable when buying a house by evaluating customers' preferences for housing location in Erzurum province. In the case study, 3 alternative regions (Palandoken, Yakutiye ve Aziziye) and 6 criteria (transportation accessibility, housing price, population density, noise and air pollution, infrastructure safety, social and cultural activity areas) were defined and the criteria weights were calculated using the Fuzzy Full Consistency Method (F-FUCOM). Then, the Fuzzy Measurement Alternatives and Ranking According to Compromise Solution (F- MARCOS) method was used to evaluate the alternatives. The results of the research have shown that the most important criterion is the price of the house, while the least important criterion is noise and air pollution for customers to buy a house. In addition, the results have shown that Yakutiye district is the best alternative for choosing housing districts in Erzurum province. The other alternatives are Palandoken and Aziziye respectively.

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Section: Fuzzy Marcos Methodsmentioning

confidence: 99%

Integrated Fuzzy FUCOM And Fuzzy MARCOS Approaches for Housing Location Problem

Emeç¹

2022

BEN

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Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

Tuş

Adalı

2022

Gazi University Journal of Science

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MACBETH Tabanlı Bulanık MARCOS Yöntemi ile Bir Tekstil İşletmesi için Ürün Grubu Seçimi

ERCAN

Kundakcı

2022

Pamukkale Üniversitesi İşletme Araştırmaları Dergisi

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In order to survive in the rapidly changing sector dynamism and increasing competition environment, textile companies should both make the right decision for the products they will produce and provide the cost, raw material supply, capacity occupancy and error rate criteria under optimum conditions. In this study, the ideal product group to be produced for a textile company was determined by using MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) and fuzzy MARCOS (Measurement Alternatives and Ranking according to the COmpromise Solution) methods, which are among the Multi-Criteria Decision Making (MCDM) methods. The MACBETH method was used to determine the weights of the cost, raw material supply, capacity occupancy and error rate criteria, which are considered in the selection of the ideal product group to be produced. The fuzzy MARCOS method was used in the evaluation of the four product group alternatives that the company produces intensively, and the most suitable product group was determined for the optimal management of production parameters in the textile company.

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Fuzzy Rank Ordering Weight Based Fuzzy MARCOS Method for Solving Internet Service Provider Selection Problem

Abstract: Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Tuş, A. ve Aytaç Adalı, E., "İnternet servis sağlayıcı seçim probleminin çözümünde bulanık sıralama ağırlık tabanlı bulanık MARCOS yöntemi", Politeknik Dergisi, (): , ().

Cited by 4 publications

References 36 publications

Integrated Fuzzy FUCOM And Fuzzy MARCOS Approaches for Housing Location Problem

Integrated Fuzzy FUCOM And Fuzzy MARCOS Approaches for Housing Location Problem

Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

MACBETH Tabanlı Bulanık MARCOS Yöntemi ile Bir Tekstil İşletmesi için Ürün Grubu Seçimi

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Fuzzy Rank Ordering Weight Based Fuzzy MARCOS Method for Solving Internet Service Provider Selection Problem

Abstract: Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Tuş, A. ve Aytaç Adalı, E., "İnternet servis sağlayıcı seçim probleminin çözümünde bulanık sıralama ağırlık tabanlı bulanık MARCOS yöntemi", Politeknik Dergisi, *(*): *, (*).

Cited by 4 publications

References 36 publications

Integrated Fuzzy FUCOM And Fuzzy MARCOS Approaches for Housing Location Problem

Integrated Fuzzy FUCOM And Fuzzy MARCOS Approaches for Housing Location Problem

Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

MACBETH Tabanlı Bulanık MARCOS Yöntemi ile Bir Tekstil İşletmesi için Ürün Grubu Seçimi

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Abstract: Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Tuş, A. ve Aytaç Adalı, E., "İnternet servis sağlayıcı seçim probleminin çözümünde bulanık sıralama ağırlık tabanlı bulanık MARCOS yöntemi", Politeknik Dergisi, (): , ().