An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing

Akkaya, Gökay; Turanoğlu, Betül; Öztaş, Sinan

doi:10.1016/j.eswa.2015.07.061

Cited by 168 publications

(83 citation statements)

References 35 publications

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“…Akkaya vd. [17] endüstri mühendislerinin alan seçimleri ile ilgili yaptıkları çalışmada Bulanık AHP ve Bulanık MOORA yöntemlerini kullanmışlardır. Şişman [18] yapmış olduğu çalışmada Türk bankalarının finansal performanslarını Bulanık AHP ve Bulanık MOORA yöntemlerini kullanarak değerlendirmiştir.…”

Section: Literatür Araştırmasıunclassified

Bulanık Ahp ve Bulanık Moora Yöntemleri Kullanarak Tedarikçi Seçimi

Uygun¹,

Dalkılıç²,

Erkan³

2018

acperpro

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ÖzetGünümüzdeki rekabetçi ortamın getirdiği etki ile kuruluşların satınalma yöneticileri, tedarikçilerin nasıl seçileceğine dair zor bir kararla karşı karşıya kalmaktadır. Bununla birlikte, tedarikçi seçim problemleri karmaşıktır, çünkü çok sayıda kriterin dikkate alınması gerekir ve genellikle, bazı kriterler kesin olarak değerlendirilemez. Ayrıca, verilecek kararlarda tedarikçi performanslarının ve bilinmeyen bilgilerin dalgalanmaları her zaman mevcut olacaktır. Bu çalışmada entegre çok kriterli karar verme yöntemleri kullanılmıştır. İlk olarak tedarikçi seçimi için literatür ve sektörel bazlı karar verme kriterleri belirlenmiştir. Belirlenen kriterlerin bulanık analitik hiyerarşi prosesi (Bulanık AHP) kullanarak ağırlıkları tespit edilmiştir. Daha sonra tedarikçinin genel performansını değerlendirmek için oran analizine (bulanık MOORA) dayalı olan bulanık çok amaçlı bir optimizasyon modeli uygulanmıştır. Sonuçlar, bu modelin belirlenen uygun kriterler ile tedarikçilerin seçimini etkili bir şekilde gerçekleştirebileceğini göstermektedir. AbstractWith the impact of today's competitive environment, the purchasing managers of the organizations face a difficult decision about how to select suppliers. However, supplier selection problems are complex because many criteria have to be taken into account and, in general, some criteria cannot be considered conclusively. In addition, there will always be fluctuations in supplier performance and unknown information in the decisions to be made. Hybrid multi-criteria decision making methods were used in this study. Firstly, literature and sector based decision-making criteria were determined for supplier selection. The weights were determined using the fuzzy analytic hierarchy process (Fuzzy AHP). A fuzzy multipurpose optimization model based on ratio analysis (fuzzy MOORA) was then applied to assess the overall performance of the supplier. The results show that this model can effectively perform the selection of suppliers with the appropriate criteria.

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Section: Literatür Araştırmasıunclassified

Bulanık Ahp ve Bulanık Moora Yöntemleri Kullanarak Tedarikçi Seçimi

Uygun¹,

Dalkılıç²,

Erkan³

2018

acperpro

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“…Moreover, air quality indices, as well as the evaluation of the adverse impacts of pollutants on the health as a whole, largely depends on the concentrations of pollutants, which lie within arbitrary ranges. The assessment of air pollution has recently become an important issue due to its significance, and several new methodologies have been developed for the evaluation of air quality, such as artificial neural networks (Feng et al, 2013;Mishra and Goyal, 2016), Bayesian models (Yong et al, 2008), fuzzy logic (Liu et al, 2009;Sowlat et al, 2011;Yadav et al, 2014;Sen et al 2015;Xu et al, 2017), and fuzzy logic based on the Analytic Hierarchy Process (AHP) (Upadhyay & Dashore, 2011;Akkaya et al, 2015). Based on the literature on the assessment of air quality mentioned above, fuzzy logic appears to have become A C C E P T E D M A N U S C R I P T 16 increasingly popular because of its ability handle uncertainty and subjectivity using FIS.…”

Section: Introductionmentioning

confidence: 99%

Developing an early-warning system for air quality prediction and assessment of cities in China

Wang

Zhang

et al. 2017

Expert Systems with Applications

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Developing an early-warning system for air quality prediction and assessment of cities in China, Expert Systems With Applications (2017), Highlights  An early-warning system is developed for air quality.  Pollutant emission characteristics are analyzed using distribution functions.  Dynamic forecast intervals are constructed for addressing the uncertainty.  Air quality is evaluated by integrating fuzzy set theory and AHP.  The results show that the developed early-system is effective and reliable. Dear reviewer,Thank you very much for the positive and constructive comments on our manuscript entitled "Developing an early-warning system for air quality prediction and assessment: A case study in China". (No.: ESWA-D-17-00252R1). We have studied the comments and tried our best to revise the manuscript. Here below is our response to your comments and the revised parts in the revised manuscript are marked by highlight color,

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“…Like the other FMCDM propositions, some fuzzy MOORA propositions in the literature[40][41][42] prefer defuzzification at the beginning of the solution to generate crisp decision matrix for crisp MOORA calculations. The other fuzzy MOORA propositions in the literature[9,[43][44][45] complete all of the calculations with FN until the end of solution and defuzzifications in these studies are done at the end of the fuzzy MOORA proposition from the fuzzy weights of alternatives.…”

mentioning

confidence: 99%

The Importance of The Place of Defuzzification Step In Fuzzy Systems

Çelikbilek¹

2019

Sakarya University Journal of Science

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Fuzzy logic and fuzzy based techniques are applied constantly in both social sciences and engineering sciences for fuzzy systems. However, theoretical content is neglected occasionally in these developed methods. Even sometimes, propositions and applications are developed by using fuzzy numbers ignoring theoretical contents. In some cases, there are lots of different fuzzy solution propositions of same crisp method. Because of these, despite applying similar methods to same data set, very different results can be obtained. Fuzzy multi criteria decision making method propositions are evaluated by using simulation technique in this study to explore and compare the results of fuzzy applications. Simulation applications are applied to AHP, TOPSIS, VIKOR and MOORA methods which are the most common multi criteria decision making methods as both crisp and fuzzy in the literature. Obtained results are evaluated and interpreted for both selection of the best alternative and ranking of all alternatives. All obtained results of simulation applications show that defuzzified results are significantly different than each other for each multi criteria decision making method and each different defuzzification step.

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An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing

Cited by 168 publications

References 35 publications

Bulanık Ahp ve Bulanık Moora Yöntemleri Kullanarak Tedarikçi Seçimi

Bulanık Ahp ve Bulanık Moora Yöntemleri Kullanarak Tedarikçi Seçimi

Developing an early-warning system for air quality prediction and assessment of cities in China

The Importance of The Place of Defuzzification Step In Fuzzy Systems

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