Soft linear programming: An application of soft vector spaces

AbstractInitially some concepts related to soft vector spaces have been studied. It is shown that there is a soft matrix associated with a soft linear transform. Optimization of a process as a whole can be studied with the help of soft matrices. In this regard notion of a convex soft set is investigated. Therefore idea of soft linear programming emerges as a natural consequence. Thus soft optimality theorem is presented.