Rough Multisets and Information Multisystems

Joint Authors

Girish, K. P.
Jacob John, Sunil

Source

Advances in Decision Sciences

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