Generalisations of SDM Methods in fpfs-Matrices Space to Render Them Operable in ifpifs-Matrices Space and Their Application to Performance Ranking of the Noise-Removal Filters

Recently, the concept of intuitionistic fuzzy parameterized soft matrices (ifpifs-matrices) has allowed to mathematically model some problems in which parameters and alternatives exhibit uncertainties. To this end, present study aims generalise 24 decision-making (SDM) methods operating space with a single fpfs-matrix ifpifs-matrices spaces. Afterwards, we propose five test scenarios analyse whether SDM constructed by consistently work. Moreover, make performance comparisons generalised successful applying them performance-based value assignment (PVA) problem well-known noise-removal filters. Finally, discuss need for further research.