Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6685
Title: Formal reasoning in preference-based multiple-source rough set model
Authors: Khan, Md. Aquil
Keywords: Approximation algorithms;Computer circuits;Formal logic;Knowledge based systems;Multi agent systems;Reconfigurable hardware;Axiomatization;Deductive systems;Lower and upper approximations;Modal logic;Pawlak's rough set model;Predicate logic;Quantified modal logic;Sound and complete;Rough set theory
Issue Date: 2016
Publisher: Elsevier Inc.
Citation: Khan, M. A. (2016). Formal reasoning in preference-based multiple-source rough set model. Information Sciences, 334-335, 122-143. doi:10.1016/j.ins.2015.11.038
Abstract: We propose a generalization of Pawlak's rough set model for the multi-agent situation, where information from an agent can be preferred over that of another agent of the system while deciding membership of objects. Notions of lower/upper approximations are given, which depend on the knowledge base of the sources as well as on the position of the sources in the hierarchy giving the preference of sources. A quantified modal logic is proposed to reason about the properties of the proposed approximations. A sound and complete deductive system for the logic is also presented. Moreover, it is shown how the properties of the proposed approximations can be deduced as theorems of this deductive system. © 2015 Elsevier Inc. All rights reserved.
URI: https://doi.org/10.1016/j.ins.2015.11.038
https://dspace.iiti.ac.in/handle/123456789/6685
ISSN: 0020-0255
Type of Material: Journal Article
Appears in Collections:Department of Mathematics

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: