Raghavan R

Department of Information Technology

School of Information Technology and Engineering

Vellore Campus

B k tripathy

Bk tripathy

M nagaraju

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Intelligent Systems and Applications

Most of the researches in feature selection deal with homogeneous features that are with either numerical or categorical features. As discussed in [2] neighbourhood rough set model is one approach which deals with heterogeneous feature selection. The neighbourhood model is used to reduce numerical and categorical features by assigning different thresholds for different kinds of attributes. Recently Neighbourhood Based Multigranular Rough sets (NMGRS) was introduced and their properties were studied. We shall provide some critical appreciations of the results of this paper. One of the two characteristics used in real life applications of rough sets is their topological characterisations. In this article we study topological characteristics NMGRS. Some interesting algebraic properties of MGRSs were studied recently in [3]. We extend these studies to the NMGRS context. We shall also be illustrating the concepts a real life example. © 2014 IEEE.

2014 International Conference on Computer Communication and Informatics

On algebraic and topological properties of Neighbourhood Based Multigranular Rough Sets

On Some Topological Properties of Pessimistic Multigranular Rough Sets

Journal	International Journal of Intelligent Systems and Applications
Publisher	MECS Publisher
ISSN	2074-904X
Open Access	0