Rough fuzzy-topological approximation space with tooth decay in decision making

Tooth decay is a common problem among people due to many factors, including neglect clean teeth. Dental caries becoming more in number of countries worldwide. This study aims determine the prevalence dental and how treat this problem. We also implement fuzzy soft multifunction between topological spaces which Smarandache?s generation notion. In paper, we generated additional topologies for an information system based on similarity relation. paper discussed two methods determining accuracy: our method Pawlak?s qualitative data method. Both ideas show that because uncertainty ambiguity data, get lot one or attributes. The new was used accuracies. revealed difference fact, most important factors affecting tooth have been identified. Furthermore, are developing algorithm problems. includes conclusions some well-known results corresponding literature highlighted discussed. addition, comparative application dwells generality obtained constructed. Our proposed approach reasonable effective.