Uncertainty and Intelligent Information Systems

Ronlad R Yager

ISBN 10: 9812792341 / ISBN 13: 9789812792341

Edité par World Scientific Publishing Company Jul 2008, 2008

A propos de cet article

Neuware - Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.

N° de réf. du vendeur 9789812792341

Détails bibliographiques

• Titre: Uncertainty and Intelligent Information Systems
• Éditeur: World Scientific Publishing Company Jul 2008
• Date de parution: 2008
• Langue: anglais
• ISBN à 10 chiffres: 9812792341
• ISBN à 13 chiffres: 9789812792341
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 226 L x 155 H x 33 P (en millimètres) 226 millimètres de largeur par 155 millimètres de hauteur par 33 millimètres de profondeur
• Poids: 885 grammes

A propos de ce titre

Synopsis

Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.