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Birlik Hava Savunma Önceliklerinin Tespitine Bulanık Bir Yaklaşım

A Fuzzy Approach to Determination of a Unit’s Air Defense Priorities

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Abstract (2. Language): 
The problem of air defense support determination is a complex issue and has a significant impact on the efficiency of defense systems. On the other hand, the selection of the units which should get air defense support among many alternatives is a multi-criteria decision-making (MCDM) problem. The aim of this study is to show that the Fuzzy TOPSIS method could be used for military issues and specifically how to use it for the determination of air defense support to the sub units of a brigade. The Fuzzy TOPSIS method, which is one of the Multiple Criteria Decision Making (MCDM) methods, is based on the calculation of the closeness coefficients by means of Fuzzy Positive Ideal Solution (FPIS) and Fuzzy Negative Ideal Solution (FNIS). The alternatives are ranked according to the calculated closeness of coefficients. In this study, six aspects of getting air defense support were assessed in terms of four decision criteria by five decision makers (DM’s). The decision makers made their evaluations using linguistic variables and these variables were transformed into positive trapezoidal fuzzy numbers. The six candidates which were evaluated by DMs were ranked according to the air defense priorities by using Fuzzy TOPSIS.
Abstract (Original Language): 
Hava savunma desteğinin belirlenmesi problemi savunma sistemlerinin verimliliğinde önemli bir etkiye sahip ve karmaşık bir konudur. Diğer taraftan alternatifler arasından hava savunma desteği alacak birliklerin seçimi çok kriterli karar verme (ÇKKV) problemidir. Çalışmanın amacı Bulanık (Fuzzy) TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) yönteminin askerî konularda kullanılabileceğini göstermek ve yöntem yardımıyla bir tugayın ast birliklerinin hava savunmasının nasıl sağlanması gerektiğini ortaya koymaktır. ÇKKV yöntemlerinden biri olan Bulanık TOPSIS yönteminin temel mantığı Bulanık Pozitif İdeal Çözüm (FPİÇ) ve Bulanık Negatif İdeal Çözüm (FNİÇ) vasıtasıyla yakınlık katsayılarının hesaplanmasıdır. Yakınlık katsayılarına göre alternatifler sıralanır. Bu çalışmada, hava savunma desteği alacak altı unsur beş karar verici (KV) tarafından dört kritere göre değerlendirilmiştir. KV’ler değerlendirmelerini dilsel ifadelerle yapmış, sonra bu ifadeler pozitif yamuk bulanık sayılara dönüştürülmüştür. KV’ler tarafından değerlendirmesi yapılan altı aday, Bulanık TOPSIS yöntemiyle hava savunma önceliği fazla olandan az olana göre sıralanmıştır.

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