Overview
- Discusses novel research directions in the field of intelligent systems
- Gives emphasis to granular computing-, soft computing- and fuzzy logic- based approaches
- Describes new models for decision making, control, and data and system analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 344)
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About this book
This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors’ appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.
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Keywords
- Ordered Weighted Averaging Operators
- Geospatial Data Infrastructure
- Intuitionistic Fuzzy Sets
- Entropy Measures
- Measure Of Information
- Admissible Order
- Aggregation Functions
- Interval-Valued OWA Operators
- Sugeno Integrals
- Choquet Integrals
- Triangular Norms
- Look-Up Tables
- Stability Theory
- Fuzzy Controllers
- Possibilistic Fuzzy Modeling
- Risk Estimation
- Fuzzy Databases
- Fuzzy Probability
Table of contents (12 chapters)
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Information Theoretic and Aggregation Issues
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Applications in Modeling, Decision Making, Control, and Other Areas
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Some Bibliometric Remarks
Editors and Affiliations
Bibliographic Information
Book Title: Granular, Soft and Fuzzy Approaches for Intelligent Systems
Book Subtitle: Dedicated to Professor Ronald R. Yager
Editors: Janusz Kacprzyk, Dimitar Filev, Gleb Beliakov
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-40314-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-40312-0Published: 22 November 2016
Softcover ISBN: 978-3-319-82076-7Published: 23 June 2018
eBook ISBN: 978-3-319-40314-4Published: 14 November 2016
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XVIII, 248
Number of Illustrations: 26 b/w illustrations, 14 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Mathematical Applications in Computer Science