TY - JOUR T1 - Risk Analysis with Fuzzy Logic in R&D Projects AU - Kılıç, Ali AU - Sarıyurt, Oğuzhan AU - Sarıkaya, Hüseyin Ali AU - Aydoğdu, Ayhan PY - 2024 DA - August Y2 - 2024 JF - Uygulamalı Mühendislik ve Tarım Dergisi JO - UMTD PB - Konya Gıda ve Tarım Üniversitesi WT - DergiPark SN - 3061-9696 SP - 10 EP - 26 VL - 1 IS - 1 LA - en AB - Since the beginning of the 1950s, it has been seen that Research and Development (R&D) and its projects have touched almost every aspect of life and have changed life. These projects make a great contribution to the development and change of humanity in all fields of work. This developments and changes include pros and cons. There are many gray areas in these projects where many unknowns are discovered or known ones are developed. These gray areas also contain risks due to the nature of obscurity. Therefore, measuring the impact of these risks is very important for the success of the project. To date, many different studies have been carried out in this area where more than one risk analysis method is applied. In this study, it is aimed to calculate the risk analysis on MATLAB using the fuzzy logic method for an R&D laboratory in the food sector in Turkey, in the R&D projects. By gathering the experts in the R&D center, it has been determined which of the risk classes in the literature are suitable for this center, and the project risk has been chosen as the output value. Afterwards, the risk output has been calculated with the established fuzzy system, and the results have been evaluated on the sample scenarios. In this way, the risks and uncertainties included in R&D projects, which are always known, have been made concrete and their visibility has been facilitated. KW - R&D Project KW - Risk Analysis KW - Classifications of Risks KW - Fuzzy Logic CR - Acuner, Ş. A. (2005). Etkili bir risk yönetim sürecinin aşamaları. Riskactive Dergisi, Mart- Nisan, 4-6. 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