By Topic

The VPRS Model Based on Set Pair Analysis in Incomplete Fuzzy Information System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Hua-Kui Wang ; Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China ; Ruo-Si Jia ; Juan-Ping Wu ; Ying-Zheng Han
more authors

In this paper, the author proposed the concept of incomplete and fuzzy information systems based on incomplete approximation spaces and fuzzy sets, and analyzed the approximate class-precision and boundary in rough set systemically, via introducing the thought of inner & outer boundaries and inner & outer approximate definable sets combining rough set with fuzzy set, variable precision theory, set pair analysis(SPA), put forward a feasible model and a precision reduction method, did some work on improving class precision in rough set.

Published in:

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on  (Volume:1 )

Date of Conference:

23-24 Oct. 2010