The notion of fuzzy soft sets is a hybrid soft computing model that integrates both gradualness and parametrization methods in harmony to deal with uncertainty. The decomposition of fuzzy soft sets is of great importance in both theory and practical applications with regard to decision making under uncertainty. This study aims to explore decomposition of fuzzy soft sets with finite value spaces...

Recently, a precise and stable machine learning algorithm, i.e. eigenvalue classification method (EigenClass), has been developed by using the concept of generalised eigenvalues in contrast to common approaches, such as k-nearest neighbours, support vector machines, decision trees. In this paper, we offer new algorithm called fuzzy parameterized soft aggregation classifier (FPFS-AC) combine mod...

In this article, firstly, we describe picture fuzzy N-soft sets (PFN-SSs) as a generalization of (PFSs) and (N-SS) by observing that one the essential concept neutral grade is missing in intuitionistic N-SS (IFN-SS) theory. The neutrality can be observed situation when encounter human views including more answers type: yes, abstain, no, refusal. For instance, election commission or council issu...