CQUniversity
Browse
A fuzzy multicriteria group decision making approach for evaluating and selecting Fintech.pdf (332.44 kB)

A fuzzy multicriteria group decision making approach for evaluating and selecting Fintech projects

Download (332.44 kB)
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.

History

Volume

10

Issue

2

Start Page

1

End Page

14

Number of Pages

14

eISSN

2227-7390

Publisher

MDPI

Additional Rights

CC BY 4.0

Language

en

Peer Reviewed

  • Yes

Open Access

  • Yes

Acceptance Date

2022-01-10

Author Research Institute

  • Centre for Intelligent Systems

Era Eligible

  • Yes

Journal

Mathematics

Article Number

225

Usage metrics

    CQUniversity

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC