Enginoğlu, SerdarÇağman, Naim2025-01-272025-01-2720202146-1147https://hdl.handle.net/20.500.12428/13835In this study, we define the concept of fuzzy parameterized fuzzy soft matrices (fpfs-matrices) and present some of their basic properties. By using fpfs-matrices, we then suggest a new algorithm, i.e. Prevalence Effect Method (PEM), and apply this method to a performance-based value assignment, so that we can order noise removal filters regarding performance. The results show that PEM has a potential for several areas, such as machine learning and image processing. Finally, we discuss fpfs-matrices and PEM for further research. © Isik University, Department of Mathematics, 2020.eninfo:eu-repo/semantics/closedAccessFpfs-matrices; Fuzzy sets; Prevalence effect method; Soft matrices; Soft setsArticle104110511152-s2.0-85092203406Q3