| Issue |
E3S Web of Conf.
Volume 405, 2023
2023 International Conference on Sustainable Technologies in Civil and Environmental Engineering (ICSTCE 2023)
|
|
|---|---|---|
| Article Number | 02028 | |
| Number of page(s) | 7 | |
| Section | Renewable Energy & Electrical Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202340502028 | |
| Published online | 26 July 2023 | |
Estimating the overall efficiency of storage batteries in Fermatean picture fuzzy environment
Department of Mathematics, Annamalai University, Annamalainagar-608002, Tamil Nadu, India
E-mail : shanthi.anita@yahoo.com and basavaraju43502@gmail.com
* Corresponding author: shanthi.anita@yahoo.com
Electricity storage devices play a very vital role in efficient energy management. Storage technologies vary depending on the specific needs and applications. Battery is a electric storage system which converts chemical energy into electrical energy and possess some specific parameters that characterize them. Here, four types of storage batteries are evaluated based on their efficiency, cost, life span and energy density properties using COPRAS and ARAS methods on Fermatean picture fuzzy sets. Firstly a decision matrix is constructed using Fermatean picture fuzzy sets and it is normalized. Entropy measure is defined which helps in calculation of weight values. Next aggregated weighted normalized Fermatean picture fuzzy matrix is found and using this relative significant and utility values are calculated in COPRAS method. In ARAS method optimal function values are determined and utility values are found. The alternatives are ranked based on the utility values. In both the methods it is found that the rank of the best alternative is the same whereas the ranking of other alternatives vary.
Key words: Fermatean fuzzy set / COPRAS method / ARAS method / utility value / relative significant values
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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