A new research article co-authored by Prof. Dr. Tarık Çakar, faculty member of the Department of Industrial Engineering and Director of the New Generation Entrepreneurship and Innovation Application and Research Center at İstanbul Gelişim University, has been published in the Niğde Ömer Halisdemir University Journal of Engineering Sciences. The study is entitled "An Interval Type-2 Fuzzy Analytic Hierarchy Process Approach for Selection of Renewable Energy Source."
The study proposes an Interval Type-2 Fuzzy Analytic Hierarchy Process (IT2F-AHP) approach to identify the most suitable renewable energy source by considering multiple decision criteria. Four renewable energy alternatives—solar, wind, biomass, and hybrid energy—were evaluated based on investment cost, maintenance cost, land requirements, service life, energy efficiency, and sustainability within a multi-criteria decision-making framework.
The primary objective of the research is to reduce uncertainty in renewable energy investment decisions and support more reliable and objective decision-making processes. By incorporating Interval Type-2 Fuzzy Sets, the proposed methodology effectively captures the uncertainty inherent in expert judgments, providing a more robust decision support framework than conventional fuzzy approaches.
The findings indicate that hybrid energy systems represent the most suitable renewable energy alternative among the evaluated options, followed by biomass, wind, and solar energy. The proposed model is expected to contribute to sustainable energy planning, energy policy development, and future research on multi-criteria decision-making applications in the renewable energy domain.
We congratulate Prof. Dr. Tarık Çakar on this valuable academic achievement and wish him continued success in his future scientific endeavors.