A fuzzy based model to assess the influence of project risk on corporate behavior

Abstract

Nowadays, the competitiveness on industry, requires a good preparation from the organizations, considering all events that may occur, which brings new challenges for the corporation’s management. To address such challenges, risk management’s models have been used to give a sense of threat prevention, by assessing each project’s risk and the risk from the corporation itself as well. However, such models are normally based on human perception, which brings some subjectivity around the risks involved, making their definition less accurate. Additionally, there is a lack of models that allows to better define the corporation’s risk, by exploring the influence from the risk’s project. To address these issues, this paper presents an approach, supported by fuzzy logic, to analyze the risk’s level in an organization, by considering the influence of their projects. A case study will be used to assess the model robustness and to discuss the benefits and challenges found.