Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey

Deveci, Muhammet; Demirel, Nihan Çetin; John, Robert; Özcan, Ender

doi:10.1016/j.jngse.2015.09.004

Cited by 75 publications

(30 citation statements)

References 42 publications

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“…Baysal et al (2015) evaluated the ranking of the nine sub-municipal projects in Konya, Turkey with FAHP. Deveci et al (2015) compared the performance of fuzzy MCDM methods for solving the carbon dioxide geological storage location selection problem in Turkey.…”

Section: Fuzzy Analytic Hierarchy Process Methodsmentioning

confidence: 99%

An Integrated Fuzzy Ahp/Dea Approach for Performance Evaluation of Territorial Units in Turkey

Çalık

Pehlivan

Kahraman

2018

Technological and Economic Development of Economy

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Due to the differences between regions and sub-regions in the countries, some problems come out especially in economic and social life. The issue of differences of regions has been widely implemented to evaluate the economic performance of Turkey in many disciplines. The objective of this paper is to evaluate the efficiency of 26 sub-regions of NUTS-2 classification using integration Fuzzy Analytic Hierarchy Process (FAHP) with Data Envelopment Analysis (DEA). The integrated FAHP/DEA method comprises two stages. In the first stage, linguistic terms are used to determine the decision makers’ opinion and are converted to quantitative forms by using FAHP methods. Subsequently, in the second stage, DEA method is applied to obtain relative efficiency of sub-regions in Turkey. The integrated FAHP/DEA method is illustrated with a real case study.

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Section: Fuzzy Analytic Hierarchy Process Methodsmentioning

confidence: 99%

An Integrated Fuzzy Ahp/Dea Approach for Performance Evaluation of Territorial Units in Turkey

Çalık

Pehlivan

Kahraman

2018

Technological and Economic Development of Economy

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“…Bulanık durumlar için diğer ÇKKV yöntemleri [57,58] gibi bulanık küme teorisi ile birleştirilen Bulanık TOPSIS yönteminin ilk üç adımı, Bulanık VIKOR yönteminde uygulanan adımlar ile aynıdır. Bu nedenle bu bölümde ilk üç adımdan sonraki adımlar açıklanmıştır [27].…”

Section: Bulanık Topsis Yöntemi (Fuzzy Topsis Method)unclassified

“…Bulanık VIKOR ve Bulanık TOPSIS yöntemlerinin ise havayolları ile ilgili yapılan çeşitli çalışmalarda kullanıldığı görülmektedir [2,13,[23][24][25]. Bununla birlikte, Bulanık VIKOR ile Bulanık TOPSIS yöntemleri yer seçimi, risk belirleme, robot seçimi, performans değerlendirme, konsept tasarımı, hemşire seçimi gibi çeşitli alanlarında birlikte uygulanmışlardır [26][27][28][29][30][31][32][33][34]. Bu çalışmada ise, literatürden farklı olarak, ilk kez KM, Bulanık VIKOR ve Bulanık TOPSIS yöntemleri birlikte kullanılmıştır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Kano Model Ve Bulanik Vikor Yöntemi̇ İle Bulanik Çok Kri̇terli̇ Seçi̇m Yaklaşimi: Havayolu Fi̇rma Seçi̇mi̇ İçi̇n Bi̇r Uygulama

Delice

2016

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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ÖZETHavayolu taşımacılığı hizmet sektöründe büyük bir paya sahip olan rekabetçi bir pazardır. Bu pazarda yer alan havayolu firma seçim problemi, özellikle hem nicel hem de nitel faktörlerden etkilenmesi hem de insanların sübjektif algılamaları ve tecrübelerinden dolayı ortaya çıkan belirsizlikler nedeniyle, müşteriler için gittikçe kompleks bir hale gelmektedir. Bu makalede belirsiz bir ortamda, müşteri isteklerine bağlı olarak havayolu firma seçimi için Kano Model (KM), Bulanık VIKOR ve Bulanık TOPSIS yöntemleri ile yeni bir bulanık çok kriterli bir model geliştirilmiştir. Bu model ile Türkiye'de faaliyet gösteren ve önemli pazar paylarına sahip beş havayolu firması değerlendirilmiştir. Değerlendirme sürecinde, ilk olarak, on adet müşteri isteği yani hizmet kriteri belirlenmiş ve KM kullanılarak bu kriterler arasından en önemli kriterin "uçuş güvenliği" kriteri olduğu ortaya çıkarılmıştır. Daha sonra, Bulanık VIKOR ve Bulanık TOPSIS yöntemleri ile yapılan karşılaştırmalı analiz sonucunda hizmet kriterlerini karşılama açısından en iyi havayolu firma alternatiflerinin sırasıyla A 2 ve A 1 olduğu tespit edilmiştir. Çalışma kapsamında yapılan duyarlılık analizi ile önerilen modelin belirsiz bir ortamda seçim sürecini değerlendirmede etkili bir araç olduğu gösterilmiştir.Anahtar Kelimeler: Kano model, bulanık VIKOR, bulanık TOPSIS, hizmet sektörü, havayolu taşımacılığı A FUZZY MULTICRITERIA MODEL FOR AIRLINE COMPANIES SELECTION ABSTRACTAirline transportation is a competitive market which has a big share in the service sector. Airline company selection problem, which takes part in this market, is getting a more complex problem for customers, according to the facts that it is impressed by both tangible and intangible factors, and vagueness arising from the subjective perceptions and experience of individuals. In this study, a new fuzzy multicriteria model is developed by the employment of Kano Model (KM), Fuzzy VIKOR and Fuzzy TOPSIS methods, for airline company selection problem according to the customer needs under a vague environment. In the evaluation process, ten customer needs, namely service criteria, are determined at first, and "flight security" criterion is selected to be the most important one by the KM. After that, the best airline companies are selected as A 2 and A 1 firms in the point of meeting the service criteria according to the comparative analysis of Fuzzy VIKOR and Fuzzy TOPSIS methods. As a result of sensitivity analysis realized in the end of the study, it is presented that the proposed approach is an effective tool to evaluate a selection process in a fuzzy environment.

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“…Bellman and Zadeh [2] used fuzzy logic for the decision-making process for the first time, and then it became one of the most vital fields for decision-making. With time, fuzzy sets theory gone through many developments and come across several applications of MCDM like control [3], effectiveness and user experience in online advertising [4], intelligent systems [5], assessment of web components [6], satellite image analysis [7], evaluation of death possibilities in patients with acute coronary syndrome [8], carbon dioxide geological storage [9] and many more. For decision-making, different techniques are used, and a general assessment of alternatives is preferred for the MCDM problems.…”

Section: Introductionmentioning

confidence: 99%

A New Method to Support Decision-Making in an Uncertain Environment Based on Normalized Interval-Valued Triangular Fuzzy Numbers and COMET Technique

et al. 2020

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Multi-criteria decision-making (MCDM) plays a vibrant role in decision-making, and the characteristic object method (COMET) acts as a powerful tool for decision-making of complex problems. COMET technique allows using both symmetrical and asymmetrical triangular fuzzy numbers. The COMET technique is immune to the pivotal challenge of rank reversal paradox and is proficient at handling vagueness and hesitancy. Classical COMET is not designed for handling uncertainty data when the expert has a problem with the identification of the membership function. In this paper, symmetrical and asymmetrical normalized interval-valued triangular fuzzy numbers (NIVTFNs) are used for decision-making as the solution of the identified challenge. A new MCDM method based on the COMET method is developed by using the concept of NIVTFNs. A simple problem of MCDM in the form of an illustrative example is given to demonstrate the calculation procedure and accuracy of the proposed approach. Furthermore, we compare the solution of the proposed method, as interval preference, with the results obtained in the Technique for Order of Preference by Similarity to Ideal solution (TOPSIS) method (a certain preference number).

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Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey

Cited by 75 publications

References 42 publications

An Integrated Fuzzy Ahp/Dea Approach for Performance Evaluation of Territorial Units in Turkey

An Integrated Fuzzy Ahp/Dea Approach for Performance Evaluation of Territorial Units in Turkey

Kano Model Ve Bulanik Vikor Yöntemi̇ İle Bulanik Çok Kri̇terli̇ Seçi̇m Yaklaşimi: Havayolu Fi̇rma Seçi̇mi̇ İçi̇n Bi̇r Uygulama

A New Method to Support Decision-Making in an Uncertain Environment Based on Normalized Interval-Valued Triangular Fuzzy Numbers and COMET Technique

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