Interval-Valued Methods in Classifications and Decisions
Authors: Bentkowska, Urszula
Free Preview- Offers a concise introduction to interval-valued fuzzy methods
- Describes novel classification algorithms
- Reports on new types of interval-valued aggregations
Buy this book
- 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)
-
-
Fuzzy Sets and Their Extensions
Pages 3-23
-
Aggregation in Interval-Valued Settings
Pages 25-68
-
Decision Making Using Interval-Valued Aggregation
Pages 71-82
-
Optimization Problem of k-NN Classifier for Missing Values Case
Pages 83-105
-
Optimization Problem of k-NN Classifier in DNA Microarray Methods
Pages 107-120
-
Table of contents (8 chapters)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Interval-Valued Methods in Classifications and Decisions
- Authors
-
- Urszula Bentkowska
- 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
- Softcover ISBN
- 978-3-030-12929-3
- Series ISSN
- 1434-9922
- Edition Number
- 1
- Number of Pages
- XV, 163
- Number of Illustrations
- 7 b/w illustrations, 5 illustrations in colour
- Topics
*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.
