Interval-Valued Methods in Classifications and Decisions by Urszula Bentkowska

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Summary

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. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators.

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Interval-Valued Methods in Classifications and Decisions by Urszula Bentkowska

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.

SKU Unavailable
ISBN 13 9783030129293
ISBN 10 3030129292
Title Interval-Valued Methods in Classifications and Decisions
Author Urszula Bentkowska
Series Studies In Fuzziness And Soft Computing
Condition Unavailable
Binding Type Paperback
Publisher Springer Nature Switzerland AG
Year published 2020-08-14
Number of pages 163
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.