Comparisons between near open sets and rough approximations Online publication date: Tue, 16-Feb-2016
by M.K. El-Bably
International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS), Vol. 4, No. 1, 2015
Abstract: The present paper is devoted to introduce the new concepts 'j-near approximations' and studying its applications. In fact, these operators can be considered as easy tools for removing the vagueness (uncertainty) of rough sets. The basic notions of j-near approximations introduced and sufficiently illustrated. Comparisons between the accuracy of these types of approximations are superimposed. We further investigated some new generalised definitions for rough membership functions. Accordingly, several types of fuzzy sets constructed. Finally, several examples given to indicate counter connections.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com