IJCRS 2017: Rough Sets pp 570-578 | Cite as

Classification Model Based on Topological Approximation Space

Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10314)

Abstract

In this paper we present an application of a topological approximation space and a rough fuzzy membership function in aim to get classification models. We propose a model of obtaining coverings based on statistical methods applied to attributes in decision systems (where missing values are also considered). We include in this paper experimental results on classification of Horse Colic, Diabetes and Austra data sets, and compare the results with classifiers built in RSES2.

Keywords

Topological approximation space Coverings Rough fuzzy membership function Classification 
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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Mathematics and Computer ScienceUniversity of Warmia and Mazury in OlsztynOlsztynPoland

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