Five Generalized Rough Approximation Spaces Produced by Maximal Rough Neighborhoods

In rough set theory, the multiplicity of methods calculating neighborhood systems is very useful to calculate measures accuracy and roughness. line with this research direction, in article we present novel kinds inspired by system maximal systems. We benefit from symmetry between approximations (lower upper) topological operators (interior closure) structure current generalized approximation spaces. First, display two types models produced neighborhoods, namely, type 2 mξ-neighborhood 3 models. investigate their master properties show relationships them as well relationship some foregoing ones. Then, apply idea adhesion neighborhoods introduce three additional models, 4 mξ-adhesion, 5 mξ-adhesion 6 establish fundamental characteristics these discuss how various relate one another. prove that increase value measure subsets, which can improve decision making. Finally, provide a comparison Yao’s technique