A Concept of Multi Rough Sets Defined on Multi-contextual Information Systems

A changing computing landscape is expected to sense the physical world yet remain concealed within its very infrastructure to provide virtual services which are discreetly networked, omnipresent yet non-intrusive. Ambient Information Systems (AIS), permit a mode of expression that can easily exist at the level of subconscious realisation. This research focuses on the development of an Ambient Communication Experience (ACE) system. ACE is a synchronisation framework to provide co-ordinated connectivity across various environmentally distributed devices via sensor data discovery. The intention is to facilitate location-independent and application-responsive screening for the user, leading to the concept of technologically integrated spaces. The aim is to deliver contextual information without the need for direct user manipulation, and engagement at the level of peripheral perception.

Download Full-text

Soft dominance based rough sets with applications in information systems

International Journal of Approximate Reasoning ◽

10.1016/j.ijar.2019.06.009 ◽

2019 ◽

Vol 113 ◽

pp. 171-195 ◽

Cited By ~ 2

Author(s):

Abbas Ali ◽

Muhammad Irfan Ali ◽

Noor Rehman

Keyword(s):

Information Systems ◽

Rough Sets

Download Full-text

Soft Computing for Evolutionary Information Systems — Potentials of Rough Sets

Soft Computing in Industrial Applications ◽

10.1007/978-1-4471-0509-1_42 ◽

2000 ◽

pp. 481-494 ◽

Cited By ~ 1

Author(s):

A. B. Patki ◽

G. V. Raghunathan ◽

Soumik Ghosh ◽

S. Sivasubramanian ◽

Azar Khurshid

Keyword(s):

Information Systems ◽

Soft Computing ◽

Rough Sets ◽

Evolutionary Information

Download Full-text

Reduction of Neighborhood-Based Generalized Rough Sets

Journal of Applied Mathematics ◽

10.1155/2011/409181 ◽

2011 ◽

Vol 2011 ◽

pp. 1-22 ◽

Cited By ~ 3

Author(s):

Zhaohao Wang ◽

Lan Shu ◽

Xiuyong Ding

Keyword(s):

Information Systems ◽

Set Theory ◽

Rough Set ◽

Rough Sets ◽

Rough Set Theory ◽

Open Problems ◽

The Third ◽

Generalized Rough Sets

Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of knowledge in information systems. This paper discusses five types of existing neighborhood-based generalized rough sets. The concepts of minimal neighborhood description and maximal neighborhood description of an element are defined, and by means of the two concepts, the properties and structures of the third and the fourth types of neighborhood-based rough sets are deeply explored. Furthermore, we systematically study the covering reduction of the third and the fourth types of neighborhood-based rough sets in terms of the two concepts. Finally, two open problems proposed by Yun et al. (2011) are solved.

Download Full-text