Rough set theory for the incomplete interval valued fuzzy information systems

Article type: Research Article

Authors: Gong, Zengtai | Tao, Lei

Affiliations: College of Mathematics and Statistics, Northwest Normal University, Lanzhou, P.R. China | Pingliang City Central Subbranch of the People's Bank of China, Pingliang, P.R. China

Note: [] Corresponding author. Zengtai Gong, College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, P.R. China. Tel.: +86 931 7971845; E-mail: [email protected]

Abstract: Considering the incompleteness and uncertainty of information systems, this paper combines the incomplete information systems with interval-valued fuzzy sets, and defines the incomplete interval-valued fuzzy information systems. The basic rough set theory for incomplete interval-valued fuzzy information systems is also discussed in this paper.

Keywords: Interval-valued fuzzy set, interval-valued fuzzy information system, incomplete information system, rough fuzzy set, fuzzy rough set

DOI: 10.3233/IFS-130780

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 2, pp. 889-900, 2014