Rough Set Theory: A True Landmark in Data Analysis

Rough Set Theory: A True Landmark in Data Analysis

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Abraham, Ajith (Επιμελητής έκδοσης), Falcón, Rafael (Επιμελητής έκδοσης), Bello, Rafael (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:	Studies in Computational Intelligence, 174
Θέματα:	Computer science. Artificial intelligence. Computer-aided engineering. Applied mathematics. Engineering mathematics. Computer Science. Computer-Aided Engineering (CAD, CAE) and Design. Appl.Mathematics/Computational Methods of Engineering. Artificial Intelligence (incl. Robotics).
Διαθέσιμο Online:	Full Text via HEAL-Link

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