Editors:
- Presents a number of fuzzy-logic based methods for managing uncertainty in different areas of science
- Describes cutting-edge approaches and their applications to key problems in operations research
- Includes extended, selected contributions presented at ISFUROS2017
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 377)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (20 chapters)
-
Front Matter
-
Fuzzy Sets: Theory and Applications
-
Front Matter
-
-
Rough Sets: Theory and Applications
-
Front Matter
-
-
Hybrid Approaches
-
Front Matter
-
About this book
This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.
Keywords
- Fuzzy Clustering
- Fuzzy Constraints
- Tourist Trip Design Problem
- ISFUROS 2017
- Optimal Bucket Order Problem
- Rank Aggregation Problem
- Application of Fuzzy Random Variables
- Berth Allocation Problem
- Fuzzy Linear Programming
- Reference Ideal Method (RIM)
- Compensatory Multicriteria Decision Making Methods
- Fuzzy Cognitive Maps
- Usability Evaluation Methods
- Health Support Systems
- Modelling Human Behaviour
- HAPA Model
- Covering-based Rough Sets
- Relations Among Matroids
- Multiobjective Community Detection Problem
- Granular Computing in Optimization
Editors and Affiliations
-
Department of Computer Science, Universidad Central "Marta Abreu" de Las Villas, Santa Clara, Cuba
Rafael Bello
-
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada
Rafael Falcon
-
Department of Computer Science and Artificial Intelligence, Technical School of Informatics and Telecommunications Engineering, University of Granada, Granada, Spain
José Luis Verdegay
Bibliographic Information
Book Title: Uncertainty Management with Fuzzy and Rough Sets
Book Subtitle: Recent Advances and Applications
Editors: Rafael Bello, Rafael Falcon, José Luis Verdegay
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-10463-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-10462-7Published: 31 January 2019
eBook ISBN: 978-3-030-10463-4Published: 22 January 2019
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXIX, 413
Number of Illustrations: 74 b/w illustrations, 80 illustrations in colour
Topics: Computational Intelligence, Operations Research/Decision Theory, Simulation and Modeling, Control and Systems Theory