Lower Approximation Reduction in Ordered Information System with Fuzzy Decision | Zendy

Xiaoyan Zhang | Zendy; Weihua Xu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Lower Approximation Reduction in Ordered Information System with Fuzzy Decision

Author(s) -

Xiaoyan Zhang,

Weihua Xu

Publication year - 2011

Publication title -

applied mathematics

Language(s) - English

Resource type - Journals

eISSN - 2152-7393

pISSN - 2152-7385

DOI - 10.4236/am.2011.27125

Subject(s) - reduction (mathematics) , rough set , mathematics , fuzzy set , fuzzy logic , matrix (chemical analysis) , set (abstract data type) , information system , decision system , mathematical optimization , computer science , data mining , artificial intelligence , operations research , engineering , materials science , geometry , electrical engineering , composite material , programming language

Attribute reduction is one of the most important problems in rough set theory. This paper introduces the concept of lower approximation reduction in ordered information systems with fuzzy decision. Moreover, the judgment theorem and discernable matrix are obtained, in which case an approach to attribute reduction in ordered information system with fuzzy decision is constructed. As an application of lower approximation reduction, some examples are applied to examine the validity of works obtained in our works.

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