Risk Assessment of R&D Activities Using Intuitionistic Fuzzy AHP and FIS

Abstract

National and international supports for research and development projects have been increasing over the world. Risk management has a vital impact on the success of these projects. In risk management, all of the potential actions that may negatively affect the processes or outputs of a project should be identified and their negative effects should be minimized before starting the project by taking a set of prevention. Therefore, in this study, risks in research and development projects are identified and evaluated by using interval-valued intuitionistic fuzzy AHP and fuzzy inference system. The most critical risks are determined as insufficient planning and abnormal changes in costs.