Rough Set in Knowledge Representation and Granular Computing | On Some Aspects

D. P. Acharjya

ISBN 10: 3659160849 / ISBN 13: 9783659160844

Edité par LAP Lambert Academic Publishing, 2012

Rough Set in Knowledge Representation and Granular Computing | On Some Aspects | D. P. Acharjya | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659160844 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106392364

Synopsis :

Knowledge representation and granular computing is an active area of current research for their potential application to many real life problems. Thus, it is challenging for human being in converting huge data into knowledge, and to use this knowledge to make informed decisions properly. It is very difficult to extract expert knowledge from the universe and is an active area of research in artificial intelligence. This involves analysis of how to accurately and effectively use a set of symbols to represent a set of facts within a knowledge domain. The focus of the work in this book is a combination of theoretical advancements of some of the extended models and their applications in knowledge bases. The theoretical advancements have been supported with formal proof to establish soundness whereas the applications are mostly undertaken from real life situations. The book discusses some aspects of rough sets approach in the study of knowledge discovery in databases and granular computing. An elaborate bibliography is provided at the end of the book. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of knowledge representation.

Présentation de l'éditeur: Knowledge representation and granular computing is an active area of current research for their potential application to many real life problems. Thus, it is challenging for human being in converting huge data into knowledge, and to use this knowledge to make informed decisions properly. It is very difficult to extract expert knowledge from the universe and is an active area of research in artificial intelligence. This involves analysis of how to accurately and effectively use a set of symbols to represent a set of facts within a knowledge domain. The focus of the work in this book is a combination of theoretical advancements of some of the extended models and their applications in knowledge bases. The theoretical advancements have been supported with formal proof to establish soundness whereas the applications are mostly undertaken from real life situations. The book discusses some aspects of rough sets approach in the study of knowledge discovery in databases and granular computing. An elaborate bibliography is provided at the end of the book. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of knowledge representation.

Détails bibliographiques

Titre : Rough Set in Knowledge Representation and ...
Éditeur : LAP Lambert Academic Publishing
Date d'édition : 2012
Reliure : Taschenbuch
Etat : Neu