Approximate Entropy Reducts

• Autorzy: Ślęzak D.
• Języki publikacji: EN

Abstrakty

EN

We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplification (reduction of attributes) in the decision model, which approximately preserves its conditional entropy (the measure of inconsistency of defining decision by conditional attributes) should be performed to decrease its prior entropy (the measure of the model's complexity). We show NP-hardness of optimization tasks concerning application of various modifications of AERP to data analysis.

Słowa kluczowe

EN

entropy; probabilities in data; decision reducts; approximate reduct

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2002
• Tom: Vol. 53, nr 3,4
• Strony: 365--390
• Opis fizyczny: bibliogr. 36 poz.

Twórcy

autor

Ślęzak D.

• Banacha 14/33, 02-097 Warsaw, Poland