ETKİN, ETKİLİ VE UYGULANABİLİR KARAR VERME: ETKİLEŞİMLİ BULANIK / OLABİLİRLİKLİ ÇOK AMAÇLI MATEMATİKSEL PROGRAMLAMA

Son 60-70 yıldır, akademik ve pratik alanlarda, deterministik yerine, bulanık / olabilirlikli matematiksel programlama yöntemleri geliştirilerek daha etkin ve uygulanabilir çözümler elde edilmeye çalışılmaktadır. Belirsizlik ortamında; Çok Amaçlı Karar Verme yaklaşımlarıyla, belirli tatmin seviyeleri için uzlaşık çözümler bulunabilmektedir. Ayrıca, karar verici, Etkileşimli Çok Amaçlı Karar Verme yaklaşımlarıyla, kaynakların kullanımına bağlı olarak hedeflerin tatmin seviyeleri ve uzlaşık çözümlerdeki değişiklikleri ortaya koyabildiğinden, ödünleşme kararlarında birçok alternatife sahip olmakta ve bu sayede daha esnek karar verme imkânı bulmaktadır. Bu çalışmada, “Etkileşimli Bulanık / Olabilirlikli Tek / Çok Amaçlı Matematiksel Programlama” yaklaşımlarına genel bir bakış sunulmaktadır. Aynı zamanda, çeşitli kombinasyonlarda kullanılabilen bu temel yaklaşımların üstünlükleri ile bunlara duyulan ihtiyaç, gerekçeleri ile belirtilmekte ve karar vericilerin gerçek dünyada bu yaklaşımları neden dikkate alması ve kullanması gerektiği hususu vurgulanmaktadır. Bulanık / Olabilirlikli belirsizliğini çok amaçlı ve etkileşimli yaklaşımlarla birleştiren gerçek dünya çalışmalarında bir eksiklik mevcuttur. Bu bağlamda, farklı alan / sektör uygulamaları ile literatüre önemli katkılar yapılabileceği değerlendirilmektedir.

Anahtar Kelimeler:

Planlamada Nicel Yöntemler ve Modelleme, Bulanık Matematiksel Programlama, Bulanık Çok Amaçlı Karar Verme, Etkileşimli Yaklaşımlar

EFFICIENT, EFFECTIVE AND APPLICABLE DECISION MAKING: INTERACTIVE FUZZY / POSSIBILISTIC MULTIPLE OBJECTIVE MATHEMATICAL PROGRAMMING

For last 60-70 years, in academic and practice areas, more efficient and applicable solutions have been tried to be obtained by developing fuzzy / possibilistic mathematical programming methods. instead of deterministic ones. Compromise solutions for specific satisfaction levels can be found with Multiple Objective Decision Making approaches in uncertain environment, Decision maker can also point out the changes in satisfaction levels of goals and compromise solutions according to usage of resources with Interactive Multiple Objective Decision Making approaches and thus has many alternatives in trade-off decisions related to the changes and a possibility for more flexible decision making. In this paper, an overview to “Interactive Fuzzy / Possibilistic Single / Multiple Objective Mathematical Programming” approaches is presented. At the same time, the need and advantages of these major approaches which can be used in various combinations are pointed out with their justifications and the issue of that why decision makers have to consider and use them in real-world is emphasized. There is a lack on real-world based studies integrating fuzzy / possibilistic uncertainty with interactive and multiple objective approaches. In this context, it is evaluated that important contributions can be made with different field / sector applications.

Keywords:

Quantitative Methods and Modeling for Planning, Fuzzy Mathematical Programming, Fuzzy Multiple Objective Decision Making, Interactive Approaches,

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