A Fuzzy Multicriteria Group Decision Making Approach for Evaluating and Selecting Fintech Projects

Abstract

The use of financial technologies (Fintech) has increased recently due to their support to financial institutions in managing their financial operations and achieving competitive advantages. Even though there are several benefits with Fintech development and implementation, selecting the most suitable Fintech project can be complex. This is due to the involvement of numerous decision makers, the conflicting nature of multiple evaluation criteria, and fuzzy data derived from imprecise judgments of qualitative performance ratings. Interval-valued based intuitionistic fuzzy numbers are used to deal with the inherent vagueness and imprecision of the evaluation process. An algorithm based on an interval-valued intuitionistic fuzzy weighted geometric (IIFWG) and the concept of ideal solutions is developed. As a result, the most suitable Fintech project alternative can be selected across all evaluation criteria. To demonstrate the effectiveness of the approach, a Fintech project selection problem is presented.

Research on Countermeasures for the High Quality Development of Green Logistics in China under the "Double Carbon" Target

“…Wang Lei and Zhang Hongli (2014) [7] took Xinjiang agricultural products As a research object, firstly, the AHP method was used to screen the indicators, followed by the fuzzy integrated evaluation method to analyze the green logistics performance of Xinjiang agricultural products. Alinezhad A and Khalili J (2018) [8] Based on the input and output indicators of the BSC model, a data envelopment analysis based on the Malmquist Productivity Index (MPI) was applied to 15 Iranian auto parts manufacturers' green supply chain efficiency was evaluated.Wibowo S and Tom M (2014) [9] A fuzzy multicriteria cluster decision model was developed to simulate the inherent subjectivity and inaccuracy of the rating process using intuitionistic fuzzy numbers and to evaluate the performance of green logistics enterprise project solutions.…”