Construction of QRM using Dense Factor in Quadtree Vijayabalaji Srinivasan*, Balaji Parthasarathy** *Department of Mathematics, University College of Engineering, Panruti, India **Department of Mathematics, MEASI Academy of Architecture, Chennai, India Online published on 2 August, 2016. Abstract The concept of approximation is one of the most fundamental phenomena in rough set theory. Quadtree is a tree data structure. Traditional quad tree structure defined in the literature deals mainly with white, grey and black nodes. Rough matrix theory and QRM is coined by Vijayabalaji and Balaji. The purpose of this paper is to construct Quad Rough Matrix using dense factor of the images in quadtree. Top Keywords Rough set, Rough membership function, Rough approximations, Quadtree, Quad Rough Matrix, Dense Factor. Top |