Editors:
- Includes introductory chapters both in terms of big data, the key challenges of the area, development opportunities, and a well-focused introduction to Computational Intelligence
- Self-contained and easily accessible volume for a broad audience
- Includes fundamentals, methodological issues as well as algorithms and applications
Part of the book series: Studies in Big Data (SBD, volume 10)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
This volume is devoted to interactive and iterative processes of decision-making– I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent manner. Human-centric interaction is of paramount relevance as a leading guiding design principle of decision support systems.
The volume provides the reader with an updated and in-depth material on the conceptually appealing and practically sound methodology and practice of I2 Fuzzy Decision Making. The book engages a wealth of methods of fuzzy sets and Granular Computing, brings new concepts, architectures and practice of fuzzy decision-making providing the reader with various application studies.
The book is aimed at a broad audience of researchers and practitioners in numerous disciplines in which decision-making processes play a pivotal role and serve as a vehicle to produce solutions to existing problems. Those involved in operations research, management, various branches of engineering, social sciences, logistics, and economics will benefit from the exposure to the subject matter. The book may serve as a useful and timely reference material for graduate students and senior undergraduate students in courses on decision-making, Computational Intelligence, operations research, pattern recognition, risk management, and knowledge-based systems.
Editors and Affiliations
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Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada
Witold Pedrycz
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Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Shyi-Ming Chen
Bibliographic Information
Book Title: Granular Computing and Decision-Making
Book Subtitle: Interactive and Iterative Approaches
Editors: Witold Pedrycz, Shyi-Ming Chen
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-16829-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-16828-9Published: 05 May 2015
Softcover ISBN: 978-3-319-36490-2Published: 09 October 2016
eBook ISBN: 978-3-319-16829-6Published: 21 April 2015
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: VIII, 368
Number of Illustrations: 88 b/w illustrations