Çok sayıda alternatif ve kriterin bulunduğu karar problemlerinin çözümü için geliştirilen yöntemler, çok kriterli karar verme yöntemleri olarak tanımlanmaktadır. Birbirleriyle çelişen çok sayıda kriter ve alternatifin bulunduğu karar problemlerinde bulanıklık ortaya çıkabilmektedir. Bu çalışmada Bulanık Analitik Hiyerarşi (AHP) ve Bulanık TOPSIS yöntemleri ile bütünleşik bir karar destek modeli önerilmiştir. Çalışmada; karar vermede etkili olan kriterlerin önem ağırlıkları Bulanık AHP ile belirlenmiş, alternatiflerin sıralama ve seçimi ise Bulanık TOPSIS yöntemi ile yapılmıştır. Uygulama kısmında özel okullarda öğretmen seçimi, önerilen karar destek yöntemi ile gerçekleştirilmiştir. Önerilen yöntemin karar destek modeli olarak başarılı bir şekilde kullanılabileceği görülmüştür.
The main purpose of the companies is to make a profit and to ensure that this profitability is continuous. In this context, the selection of the machines used by the companies in production is an important issue. Businesses have to choose the most suitable machine to reduce their costs and produce efficiently. For this reason, the decision of machine selection is also very important for textile enterprises. Machine selection in textile enterprises is a Multi-Criteria Decision problem in which a large number and contradictory criteria are taken into account. In this study, machine selection will be made with CRITIC and MAUT methods for a textile company. In the study, the weights of the decision criteria that are effective in the decision-making were determined by the CRITIC method. Then, the machine selection was made by evaluating the alternatives with the MAUT method. According to the results of the study, CRITIC and MAUT methods were evaluated as integrally applicable to machine selection.
The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.
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Businesses promote their products and services to consumers through advertising in order to create a desire to buy. Today, the development of technology offers businesses a wide range of advertising channel options. Choosing the most suitable advertising channel for businesses is a decision problem that requires the consideration of a large number of contradictory criteria. In this study, advertising behavior of SMEs in Sivas was examined with AHP, DEMATEL and maut methods, one of the multi-criteria decision making methods. In the study, the importance weights of the criteria affecting advertising behavior were determined by AHP and DEMATEL methods. Advertising channel selection was made for a company using MAUT method using criterion importance weights determined by AHP and DEMATEL methods. In the study, AHP and DEMATEL methods were found to be applicable methods in the choice of advertising channels along with the Maut method.
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