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Studies in Fuzziness and Soft Computing

Interval-Valued Methods in Classifications and Decisions

Authors: Bentkowska, Urszula

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  • Offers a concise introduction to interval-valued fuzzy methods
  • Describes novel classification algorithms
  • Reports on new types of interval-valued aggregations
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eBook $84.99
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  • ISBN 978-3-030-12927-9
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Hardcover $149.99
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  • ISBN 978-3-030-12926-2
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About this book

This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators. It then presents applications such as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed algorithms to DNA microarray analysis and in medical decision support systems are shown. The book is intended not only as a timely report for the community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect information.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-030-12927-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-12926-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Interval-Valued Methods in Classifications and Decisions
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
378
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-12927-9
DOI
10.1007/978-3-030-12927-9
Hardcover ISBN
978-3-030-12926-2
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XV, 163
Number of Illustrations
7 b/w illustrations, 5 illustrations in colour
Topics