Title :
Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System
Author :
Qi, YunSong ; Yang, Xibei ; Sun, Huaijiang ; Song, YuQing
Author_Institution :
Sch. of Electron. & Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang
Abstract :
In this paper, the dominance-based variable precision rough fuzzy set is proposed in the fuzzy information system. It is proved that the proposed rough fuzzy approach is a generalization of the dominance-based rough fuzzy approach. Important properties of the dominance-based variable precision rough fuzzy set are investigated. Further on the problem of inducing "at least" and "at most" decision rules from the fuzzy information system is also addressed. Some numerical examples are employed to substantiate the conceptual arguments.
Keywords :
data analysis; fuzzy set theory; rough set theory; dominance-based variable precision rough fuzzy approach; fuzzy information system; rough set theory; Computer science; Consumer electronics; Data mining; Fuzzy sets; Fuzzy systems; Information systems; Knowledge engineering; Set theory; Sun; Technological innovation; decision rules; dominance-based rough set; rough fuzzy set;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.23