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G. Serpen and M. Riesen “Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network,” Journal of Intelligent Learning Systems and Applications, Vol. 2, No. 3, 2010, pp. 156-166

has been cited by the following article:

• TITLE: Generalizations of Rough Functions in Topological Spaces by Using Pre-Open Sets

  AUTHORS: Amgad S. Salama, Hassan M. Abu-Donia

  KEYWORDS: Rough Sets; Rough Numbers; Approximation Spaces; Topological Spaces; Fuzzy Sets

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.4 No.2, May 23, 2012

  ABSTRACT: Functions are a means to link or transport from a world to another world may be similarly or completely different from the other world. In this paper we addressed the issue of rough functions and the possibility of transfer it from the real line to the topological abstract view that can be applied to intelligent information systems. The rough function approach has not been studied much specially from a topological point of view. Here we developed a new type of topological generalizations of rough functions with reference to how it is used in medical applications. Considering that the function is in the original a relation can be based on a review of all circular functions from the perspective of relations. Accordingly, the dream that the generalizations of rough functions are transferred to all papers prior to a comprehensive computer application.