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- W72363183 abstract "This paper reviews and compares theories of fuzzy sets and rough sets applying information retrieval. Vagueness and uncertainty have attracted the attention of philosophers and logicians for many years. The aim of this paper is to synthetically present the rough set and fuzzy set approach to the modeling of flexibility with respect to vagueness and uncertainty in the specification of users’ information needs. The two theories model different types of uncertainty .The rough set theory takes into consideration the indiscernibility between objects; typically characterized by an equivalence relation. Rough sets are the results of approximating crisp sets using equivalence classes. The fuzzy set theory deals with the ill-definition of the boundary of a class through a continuous generalization of set characteristic functions. The indiscernibility between objects is not used in fuzzy set theory. So the membership relation is best theory for categorization of two theories." @default.
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- W72363183 date "2008-08-20" @default.
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- W72363183 title "Applying fuzzy sets and rough sets as metric for vagueness and uncertainty in information retrieval systems" @default.
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