AN ANALYTICAL APPROACH TO DECISION MAKING USING DETERMINANT AND ADJOINT OF SOFT SQUARE MATRICES

Abstract

This paper determines fundamental operations of a soft matrices and examines the properties of their multiplication. We define and examine the concepts of transpose and symmetric soft square matrices, as well as the notions of determinant and adjoint, illustrating their properties with examples. Additionally, we explore the singular and non-singular forms of soft square matrices and demonstrate them through examples. Finally, we determine the applications of adjoint of square soft matrices in decision making problems.