Overview
- Presents the latest applications of fuzzy logic in
- operations research, management science and industrial engineering
- Provides readers with a timely review of fuzzy
- logic-based models for business and technology applications
- Dedicated to Christer Carlsson for his outstanding contributions to the field of multiple-criteria decision making
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 335)
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Table of contents (12 chapters)
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Front Matter
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Data Analysis, Decision Making and Systems Modeling
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Front Matter
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Fuzzy Logic in Business and Industrial Practice
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Front Matter
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Back Matter
Keywords
About this book
This
book provides readers with a timely and comprehensive yet concise view on the field of fuzzy logic and its real-world applications. The chapters, written
by authoritative scholars in the field, report on promising new models for data
analysis, decision making, and systems modeling, with a special emphasis on their
applications in management science. The book is a token of appreciation from the fuzzy research
community to Professor Christer Carlsson for his long time research and organizational
commitment, which have among other things resulted in the foundation and success of the
Institute for
Advanced Management Systems Research (IAMSR) at Åbo Akademi University, in Åbo
(Turku), Finland. The book serves as timely guide for the fuzzy logic and
operations research communities alike.
Editors and Affiliations
Bibliographic Information
Book Title: Fuzzy Technology
Book Subtitle: Present Applications and Future Challenges
Editors: Mikael Collan, Mario Fedrizzi, Janusz Kacprzyk
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-26986-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-26984-9Published: 17 November 2015
Softcover ISBN: 978-3-319-36130-7Published: 23 August 2016
eBook ISBN: 978-3-319-26986-3Published: 06 November 2015
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XVI, 219
Number of Illustrations: 24 b/w illustrations, 48 illustrations in colour
Topics: Computational Intelligence, Operations Research, Management Science, Operations Research/Decision Theory, Industrial and Production Engineering