| Issue |
E3S Web of Conf.
Volume 405, 2023
2023 International Conference on Sustainable Technologies in Civil and Environmental Engineering (ICSTCE 2023)
|
|
|---|---|---|
| Article Number | 04030 | |
| Number of page(s) | 6 | |
| Section | Sustainable Technologies in Construction & Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202340504030 | |
| Published online | 26 July 2023 | |
Evaluating types of soil suitable for construction using radial basis function fuzzy neural network
Department of Mathematics, Annamalai University, Annamalainagar - 608002, Tamilnadu, India
E-mail: shanthi.anita@yahoo.com and keerthananm99@gmail.com
* Corresponding author: shanthi.anita@yahoo.com
This paper deals with radial basis fuzzy neural network using bipolar picture fuzzy soft sets. Firstly a bipolar picture fuzzy decision matrix is constructed. A bipolar picture fuzzy Gaussian membership function is defined. Next degree values are calculated and used for finding the entropy. These entropy values help in determining the weights of bipolar picture fuzzy sets. Output is obtained by multiplication of weight values and BPFS Gaussian membership values. By using this method, the soil suitable for construction of buildings is found.
Key words: Bipolar picture fuzzy soft set / Gaussian activation function / degree / entropy / radial basis function
© The Authors, published by EDP Sciences, 2023
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