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Book Cover
E-book
Author Bentkowska, Urszula, author

Title Interval-valued methods in classifications and decisions / Urszula Bentkowska
Published Cham : Springer, [2020]
©2020

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Description 1 online resource (163 pages)
Series Studies in fuzziness and soft computing ; volume 378
Studies in fuzziness and soft computing ; v. 378.
Contents Fuzzy Sets and their Extensions -- Aggregation in Interval-valued Settings -- Decision Making using Interval-valued Aggregation -- Optimization Problem of k-NN classifier in DNA Microarray Methods -- Interval-valued Methods in Medical Decision Support Systems
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. 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
Notes Fuzzy Sets and their Extensions.- Aggregation in Interval-valued Settings.- Decision Making using Interval-valued Aggregation.- Optimization Problem of k-NN classifier in DNA Microarray Methods.- Interval-valued Methods in Medical Decision Support Systems
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Fuzzy sets.
Fuzzy decision making.
Fuzzy decision making
Fuzzy sets
Form Electronic book
ISBN 9783030129279
3030129276