Title :
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
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;
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
DOI :
10.1109/ISAP.2011.6082230
