Risk Analysis with Fuzzy Logic in R&D Projects

Authors : Oğuzhan Sarıyurt, Ali Kılıç, Hüseyin Ali Sarıkaya, Ayhan Aydoğdu

Pages : 10-26

View : 176 | Download : 173

Publication Date : 2024-08-02

Article Type : Research Paper

Abstract :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.
Keywords : R&D Project, Risk Analysis, Classifications of Risks, Fuzzy Logic

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