Note for Soft MultiExpert Set and MultiSoft MultiExpert Set

Abstract

Modern frameworks for modeling uncertainty and guiding decision-making—such as fuzzy sets, intuitionistic fuzzy sets, neutrosophic sets, hesitant fuzzy sets, and soft sets—have been the focus of extensive research. Soft sets capture vagueness by assigning each parameter a collection of elements that approximately satisfy it. Multisoft sets generalize soft sets by permitting multiple, disjoint parameter groups, each identifying its own approximate subset. Soft expert sets further refine this approach by incorporating expert opinions into the parameter-to-subset mapping. In this paper, we introduce two new structures—Soft MultiExpert Sets and Multisoft MultiExpert Sets—and explore their formal definitions, key mathematical properties, and illustrative applications in real-world decision contexts.