Rough set generalization models based information retrieval

World Wide Web has become the largest pool of knowledge in terms volume, but web users still continue to have difficulty finding relevant information. Two issues influence output information retrieval (IR) systems: first, overload and second, vagueness imprecision document representations as well user need. Rough set theory (RST) proved successful tackling ambiguous, uncertain, imprecise, or incomplete RST is being used a range artificial intelligence applications result this. several uses, one which IR. This survey focused on Sets their generalization models Some previous studies attempted comprehend rough set-based IR models, scope was limited. research examines various basic methodologies, features, strengths, limitations systematically. For critical analysis, comparison existing frameworks also presented.