Novel hybrid soft set theories focusing on decision-makers by considering the factors affecting the parameters
Journal of Experimental and Theoretical Artificial Intelligence, vol.37, no.5, pp.769-781, 2025 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 37 Issue: 5
- Publication Date: 2025
- Doi Number: 10.1080/0952813x.2023.2259913
- Journal Name: Journal of Experimental and Theoretical Artificial Intelligence
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Psycinfo, zbMATH
- Page Numbers: pp.769-781
- Keywords: algorithm, decision making, fuzzy soft set, Soft set, uncertainty problems
- Kütahya Health Sciences University Affiliated: No
Abstract
In this paper, the parameterisation tool of soft set theory is focused and factor sets are defined for all factors that can affect each parameter. Thus, more ideal results are aimed by determining the membership values of the parameters in uncertain environments. In addition, some new hybrid types of soft sets have been defined. The most important advantage of these new hybrid mathematical tools is that they can reduce the possible error margin of decision-makers. Moreover, a decision-making algorithm has been proposed for the set type that can bring us to the most comprehensive data on uncertainty. Finally, the solution to an uncertainty problem is obtained by using the given algorithm.