Prediction with temporal rough set flow graphs: The eigen fuzzy sets perspective

Author

Pancerz, Krzysztof ; Matusiewicz, Zofia

Author_Institution

Univ. of Inf. Technol. & Manage. in Rzeszow, Rzeszow, Poland

fYear

2010

fDate

13-15 May 2010

Firstpage

744

Lastpage

748

Abstract

Rough set flow graphs proposed by Z. Pawlak are a useful tool for the knowledge representation. They can be applied to represent the knowledge of transitions between states included in multistage dynamic information systems. The knowledge represented by flow graphs is a basis for determining possibilities of appearances of states in the future using the max - min fuzzy composition. For this composition, we can look for a special kind of solutions called eigen fuzzy sets. These sets help us to predict some situations in our system in the future.

Keywords

data mining; flow graphs; fuzzy set theory; information systems; knowledge representation; rough set theory; data mining; eigen fuzzy set; flow graph; knowledge representation; multistage dynamic information systems; rough set; Flow graphs; Fuzzy sets; Information management; Information systems; Information technology; Knowledge management; Knowledge representation; Management information systems; Rough sets; Technology management; eigen fuzzy sets; flow graphs; prediction; rough sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions (HSI), 2010 3rd Conference on

Conference_Location

Rzeszow

Print_ISBN

978-1-4244-7560-5

Type

conf

DOI

10.1109/HSI.2010.5514484

Filename

5514484