A Novel Approach to Model the Economic Characteristics of an Organization by Interval-Valued Complex Pythagorean Fuzzy Information
DOI:
https://doi.org/10.47852/bonviewJCCE2202249Keywords:
interval-valued complex Pythagorean fuzzy set, interval-valued complex Pythagorean fuzzy relation, economics, GDP, Hasse diagramAbstract
The success of a nation mainly depends on its economic power. The economic growth plays an important place in enhancing the caliber of life as it produces job opportunities. In this research, the effect of uncertainty on economic growth and investments is examined with gross domestic product (GDP). Currently, the relationship between financial market and economic growth is one of the most important issues in economics. These departments are often accompanied by uncertainty. Through that regard, the idea of interval-valued complex Pythagorean fuzzy relation (IVCPFR) is introduced that is handy in such situations. Moreover, the Cartesian product between interval-valued complex Pythagorean fuzzy sets and verities of IVCPFRs was described. Furthermore, these IVCPFRs are applied to analyze GDP, unemployment, price, demand, supply, interest rate, investment, and money supply effecting business markets. The possibility of the Hasse diagram is more suitable to make sense of the relationship between various economic factors. IVCPFRs will clearly help to set up the impact of one component on the other and change the grades of supportive and distinctive outcomes concerning the time. IVCPFR is used for tracking various multidimensional issues and produces quick and better outcomes rather than the previous methodologies. Finally, the proposed method is the best method to model uncertainty in economics rather than previous methods.
Received: 12 May 2022 | Revised: 12 August 2022 | Accepted: 17 August 2022
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
Metrics
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.