Intelligent decision technology support in practice /

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Bibliographic Details
Imprint:Cham : Springer, [2016]
©2016
Description:1 online resource
Language:English
Series:Smart innovation, systems and technologies ; volume 42
Smart innovation, systems, and technologies ; volume 42.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11247704
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Other authors / contributors:Tweedale, Jeffrey W. (Jeffrey Wayne), editor.
Neves-Silva, Rui, editor.
Jain, L. C., editor.
Phillips-Wren, Gloria E., editor.
Watada, J. (Junzo), editor.
Howlett, Robert J., 1954- editor.
ISBN:9783319212098
3319212095
9783319212081
3319212087
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
English.
Online resource; title from PDF title page (EBSCO, viewed August 26, 2015).
Summary: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.
Other form:Print version: Intelligent decision technology support in practice. Cham : Springer, [2016] 9783319212081 3319212087
Standard no.:10.1007/978-3-319-21209-8