Rough Multisets and Information Multisystems | Zendy

K. P. Girish | Zendy; Sunil Jacob John | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Rough Multisets and Information Multisystems

Author(s) -

K. P. Girish,

Sunil Jacob John

Publication year - 2011

Publication title -

advances in decision sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.178

H-Index - 13

eISSN - 2090-3367

pISSN - 2090-3359

DOI - 10.1155/2011/495392

Subject(s) - multiset , rough set , computer science , set (abstract data type) , mathematics , theoretical computer science , data mining , discrete mathematics , programming language

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research