Rough Multisets and Information Multisystems
Joint Authors
Girish, K. P.
Jacob John, Sunil
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-31
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Economics & Business Administration
Business Administration
Abstract EN
Rough set theory uses the concept of upper and lower approximations to encapsulate inherent inconsistency in real-world objects.
Information multisystems are represented using multisets instead of crisp sets.
This paper begins with an overview of recent works on multisets and rough sets.
Rough multiset is introduced in terms of lower and upper approximations and explores related properties.
The paper concludes with an example of certain types of information multisystems.
American Psychological Association (APA)
Girish, K. P.& Jacob John, Sunil. 2012. Rough Multisets and Information Multisystems. Advances in Decision Sciences،Vol. 2011, no. 2011, pp.1-17.
https://search.emarefa.net/detail/BIM-476225
Modern Language Association (MLA)
Girish, K. P.& Jacob John, Sunil. Rough Multisets and Information Multisystems. Advances in Decision Sciences No. 2011 (2011), pp.1-17.
https://search.emarefa.net/detail/BIM-476225
American Medical Association (AMA)
Girish, K. P.& Jacob John, Sunil. Rough Multisets and Information Multisystems. Advances in Decision Sciences. 2012. Vol. 2011, no. 2011, pp.1-17.
https://search.emarefa.net/detail/BIM-476225
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476225