Rough set model in incomplete and fuzzy decision information system based on improved-tolerance relation

Author

Wei, Da-Kuan ; Zhou, Xian-Zhong

Author_Institution

Dept. of Autom., Nanjing Univ. of Sci. & Technol., China

Volume

1

fYear

2005

fDate

25-27 July 2005

Firstpage

278

Abstract

The topical rough set theory is a forceful tool to handle the complete information system, and its effect to process incomplete information system is poor, particularly, its function to combine the incomplete information system with fuzzy decision information system is poorer. On the base of improving on the tolerance relation made by M. Kryszkiewez, this paper proposes the improved-tolerance relation and improved-tolerance classes; we simultaneously present the definition of the incomplete and fuzzy decision information system based on the improved-tolerance relation, and give its rough set model, i.e. the rough set model in incomplete and fuzzy decision information system. Finally, the conception of precision reduction is defined, and its algorithm is also supplied.

Keywords

decision support systems; fuzzy set theory; rough set theory; fuzzy decision information system; incomplete information system; rough set model; tolerance relation; Data analysis; Data mining; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information systems; Management information systems; Pattern recognition; Set theory; Uncertainty; Rough set; improved-tolerance relation; incomplete and fuzzy decision information system; precision reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing, 2005 IEEE International Conference on

Print_ISBN

0-7803-9017-2

Type

conf

DOI

10.1109/GRC.2005.1547285

Filename

1547285