Authors:
- Presents new findings concerning aggregation of inputs
- Offers new insights into computational aspects of fuzzy measures
- Explains all the necessary mathematical concepts
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 382)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- Symmetric Fuzzy Measures
- Nonlinear Integrals
- Non-additive Integrals
- Non-additive Measures
- Nonadditive Ordinal Regression
- k-maxitive Fuzzy Measures
- Maximum Entropy Fuzzy Measures
- Aggregating Data
- Aggregation Operators
- Ordered Weighted Averaging (OWA)
- Induced OWA
- Averaging Functions
- Fuzzy Partial Orders
- Preference Relations
- Interaction Indices
- Nonadditivity Indices
- Non-modularity
Authors and Affiliations
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Deakin University, Burwood, Australia
Gleb Beliakov, Simon James
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Ningbo University, Ningbo, China
Jian-Zhang Wu
Bibliographic Information
Book Title: Discrete Fuzzy Measures
Book Subtitle: Computational Aspects
Authors: Gleb Beliakov, Simon James, Jian-Zhang Wu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-15305-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-15304-5Published: 27 March 2019
eBook ISBN: 978-3-030-15305-2Published: 19 March 2019
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 245
Number of Illustrations: 6 b/w illustrations, 38 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Operations Research, Management Science