Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems | Zendy

Do Van Nguyen | Zendy; Kōichi Yamada | Zendy; Muneyuki Unehara | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems

Author(s) -

Do Van Nguyen,

Kōichi Yamada,

Muneyuki Unehara

Publication year - 2013

Publication title -

advances in fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 19

eISSN - 1687-711X

pISSN - 1687-7101

DOI - 10.1155/2013/372091

Subject(s) - rough set , relation (database) , set (abstract data type) , core (optical fiber) , computer science , data mining , dominance based rough set approach , matching (statistics) , information system , complete information , theoretical computer science , mathematics , algorithm , statistics , mathematical economics , telecommunications , electrical engineering , programming language , engineering

This paper discusses and proposes a rough set model for an incomplete information system, which defines an extended tolerance relation using frequency of attribute values in such a system. It first discusses some rough set extensions in incomplete information systems. Next, “probability of matching” is defined from data in information systems and then measures the degree of tolerance. Consequently, a rough set model is developed using a tolerance relation defined with a threshold. The paper discusses the mathematical properties of the newly developed rough set model and also introduces a method to derive reducts and the core

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