The concept of fuzzy parameterized fuzzy soft matrices (fpfs-matrices), which allows for processing fuzzy parameters and fuzzy subsets of the alternatives by using computers, is a novel and efficient mathematical tool to cope with uncertainties. Contrary to the methods constructed by fpfs-matrices, the known soft decision-making (SDM) methods based on soft sets and fuzzy sets cannot model problems whose parameters and alternatives are fuzzy. Therefore, such methods have been configured to operate in the fpfs-matrices space. In this paper, we configure two SDM methods constructed by soft sets, six SDM methods constructed by fuzzy soft sets, two SDM methods constructed by soft matrices, and four SDM methods constructed by fuzzy soft matrices. We then apply the configured methods using one fpfs-matrix as input data to a performance-based value assignment problem. Finally, we discuss the need for further research.