Multicriteria group cecision making approach for evaluating the performance of FinTech projects

Financial technologies (FinTech) are gaining popularity amongst organizations due to its ability in improving their competitiveness. As a result, organizations are seeking ways in the development of FinTech projects. The performance evaluation of the most suitable FinTech project, however, is complex and challenging due to the involvement of multiple decision makers, the multi-dimensional nature of the evaluation process and the presence of vagueness and imprecision inherent in the human decision making process. To deal with this problem, this paper presents a multicriteria group decision making approach for evaluating the performance of FinTech projects. Intuitionistic fuzzy numbers are used for effectively modelling the vagueness and imprecision of the decision making process. A multicriteria group decision making approach is developed for calculating an overall performance index for every FinTech project alternative across all criteria. A FinTech project performance evaluation problem is presented to demonstrate the effectiveness of the approach.