Transforming continuous attributes using GA for applications of Rough Set Theory to control centers

Author

de Carvalho, M.A. ; de Moraes, C.H.V. ; Lambert-Torres, G. ; Silva, L. E Borges da ; Aoki, A.R. ; Vivaldi, A.

Author_Institution

Itajuba Fed. Univ., Itajuba, Brazil

fYear

2011

fDate

25-28 Sept. 2011

Firstpage

1

Lastpage

8

Abstract

One of the possible application of Rough Sets Theory (RST) is the knowledge extraction in databases. Also, RST is useful to develop models for decision-making. During both processes one of the steps is the transformation of attributes with continuous values in digital values. This transformation sometimes can lose information. This paper presents a method for this transformation using genetic algorithms (GA). GA is used to determine the cut-off points for each attribute, getting a consistent transformation. An application in Control Centers with real data is presented.

Keywords

decision making; genetic algorithms; knowledge acquisition; power engineering computing; power system control; rough set theory; control centers; databases; decision making; genetic algorithms; knowledge extraction; rough set theory; Approximation methods; Biological cells; Databases; Genetic algorithms; Information systems; Next generation networking; Vectors; Approximate Sets; Control Centers; Data Mining; Genetic Algorithms; Large Database; Rough Sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on

Conference_Location

Hersonissos

Print_ISBN

978-1-4577-0807-7

Electronic_ISBN

978-1-4577-0808-4

Type

conf

DOI

10.1109/ISAP.2011.6082230

Filename

6082230