An intuitionistic fuzzy decision aid approach to analyzing performance indicators of waterfall project management framework

Project management methodologies describe the way of working and communicating, and represent the principles and processes in order to manage a project. Waterfall project management framework, which is the oldest one, is a sequential, linear process of project management consisting of several discrete phases. This study presents an intuitionistic fuzzy cognitive map (IFCM) application to evaluate the importance degrees of performance indicators of Waterfall project management methodology. The cause-and-effect relationships among concepts; uncertainty, vagueness, and hesitation in data lead to utilize an intuitionistic decision aid approach to assess the performance criteria of Waterfall project management framework. The application is illustrated via a case study, which is conducted in a bank that performs in Turkish banking sector.