Nuclear power: Analysis using fuzzy multidimensional similarity measures
In this paper, we discuss the importance of nuclear power for the future of the world with respect to climate change. In particular, we examine the involvement of nuclear power by countries in several different ways. We consider first the involvement of countries with respect to the amount of nuclear power produced, global energy transition, and capacity factor. Countries are ranked with respect to these three involvement areas. The fuzzy similarity measures of these rankings are found to be low in most cases. We next place countries in their respective regions. We rank the countries with respect to their carbon dioxide emissions and their greenhouse gas emissions. We then determine the fuzzy similarity measures of the countries with respect to the rankings. We found that one of the fuzzy similarity measures involving green house gas emissions is high.
Authors
- John N. Mordeson (ORCID: https://orcid.org/0000-0001-5808-0793)
- Sunil Mathew (ORCID: https://orcid.org/0000-0001-8478-9245)
- D. S. Malik
Institutions
- Creighton University (US)
- National Institute of Technology Calicut (IN)
Publication Details
- Journal
- Journal of algebraic hyperstructures and logical algebras
- Published
- 2025-01-01
- DOI
- https://doi.org/10.61838/kman.jahla.6.2.2
- Citations
- 1
- Primary Topic
- Multi-Criteria Decision Making
- Type
- article
- Field-Weighted Citation Impact
- 2.11