Teknoloji Geliştirme Bölgelerinde Ar-Ge Faaliyetinde Bulunan Firmaların Sıralama Problemine Bulanık Hibrit Bir Yaklaşım

Year 2023, Volume: 6 Issue: 2, 1452 - 1468, 05.07.2023

Kübra Tümay Ateş , Cenk Şahin

https://doi.org/10.47495/okufbed.1171050

Abstract

Teknoloji geliştirme bölgeleri üniversitelerin sanayi işbirlikleri ve kurumlarıyla bilgi paylaştığı ve alanında geniş bir şirket yelpazesine sahip olan bölgelerdir. Gelişen teknoloji ve rekabet, Araştırma ve Geliştirme (Ar-Ge) faaliyetleri yürüten teknoloji geliştirme bölgelerindeki firmaları yenilik yapmaya zorlamış ve böylece bu firmalar sanayi kuruluşlarına farklı projeler önererek ve yenilikler yaparak kendilerini kanıtlamaya çalışmışlardır ve hükümet tarafından bazı promosyonlar alabilecekleri için hala da çalışmaktadırlar. Şirketlerin sıralanmasına ilişkin yöntem, finansal teşvikler ve altyapıdan Ar-Ge faaliyetlerine kadar bir dizi kritere sahiptir. Kriterlerin çoğu, karar vericilerin bulanık sayılarla ifade edebileceği dilsel terimlere dayanmaktadır. Bu nedenle bu çalışmada, Bulanık Analitik Hiyerarşi Süreci ve Bulanık TOPSIS yöntemlerinin birleştirilmesiyle, Ar-Ge faaliyetleri yürüten firmaların sıralanması problemi hibrit bir model kullanılarak çözülmüştür. Bu çalışma için dört farklı ana karar kriteri, 16 alt kriter ve üç rastgele şirket dikkate alınmıştır. Türkiye'nin bazı teknoloji geliştirme bölgelerinden uzmanlar dahil olmak üzere Ar-Ge faaliyetleri konusunda uzmanların görüşleri alınarak bir ağ oluşturulmuş ve anketler yapılmıştır. Önerilen hibrit model, Türkiye'de Çukurova Üniversitesi Teknoloji Geliştirme Bölgesi'nde Ar-Ge faaliyetleri yürüten şirketlerin sıralaması için bir vaka çalışmasına başarıyla uygulanmıştır. Gerçek veriler kullanılarak, önerilen yaklaşımın uygulanabilirliği gösterilmiş ve önerilen yöntemle elde edilen en iyi alternatif Türkiye'deki Çukurova Üniversitesi Teknoloji Geliştirme Bölgesi'ndeki üç şirket için karşılaştırılmıştır.

Keywords

Bulanık AHP, Bulanık TOPSIS, Teknoloji Geliştirme Bölgeleri, Şirketlerin Sıralanması, Ar-Ge

A Hybrid Fuzzy Model To The Ranking Problem of Companies Operating R&D Activities in Technology Innovation Centers

Abstract

Technology innovation centers where universities share information with industry collaborations and institutions and have a wide range of companies in its field. Developing technology and competition have forced to make innovations, the companies in technology innovation centers operating Research and Development (R&D) activities have tried to prove themselves by proposing different projects to industrial organizations and making innovations and they are still working since they may get some promotions from the government. A decision for ranking companies has a number of criteria, which range from financial incentives and infrastructure to R&D activities. Most of the criteria are based on linguistic terms that decision makers can express with fuzzy statements. For this reason, in this study, the problem for ranking the companies operating R&D activities is solved by using a hybrid model, combining the Fuzzy Analytic Hierarchy Process and Fuzzy TOPSIS methods. Four different main decision criteria, 16 sub-criteria and three random companies were considered for this study. A network was formed, and surveys were carried out with the opinions of the experts on R&D activities and including experts from some technology development zones of Turkey. The proposed hybrid model was applied successfully to a case study for the ranking the companies operating R&D activities in Çukurova University Technology Development Zone in Turkey. Using actual data, it is showed the applicability of the proposed approach and compare the best alternative obtained by the proposed method for three companies in Çukurova University Technology Development Zone in Turkey.

Keywords

Fuzzy AHP, Fuzzy TOPSIS, Technology Innovation Centers, Ranking Companies

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