Intelligent Decision Technology Support in Practice (Hardcover, 1st ed. 2016)

This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Smart Innovation, Systems and Technologies, 42
Release date:	August 2015
First published:	2016
Editors:	Jeffrey W Tweedale • Rui Neves-Silva • Lakhmi C. Jain • Gloria Phillips-Wren • Junzo Watada • Robert J. Howlett
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	261
Edition:	1st ed. 2016
ISBN-13:	978-3-319-21208-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-21208-7
Barcode:	9783319212081

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