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Interval-Valued Methods in Classifications and Decisions / by Urszula Bentkowska

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Fuzziness and Soft Computing ; 378 | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2020Description: Online-Ressource (XV, 163 p. 12 illus., 5 illus. in color, online resource)ISBN:
  • 9783030129279
Subject(s): Additional physical formats: 9783030129262 | 9783030129286 | 9783030129293 | Erscheint auch als: 978-3-030-12926-2 Druck-Ausgabe | Printed edition: 9783030129262 | Printed edition: 9783030129286 | Printed edition: 9783030129293 DDC classification:
  • 006.3
LOC classification:
  • Q342
DOI: DOI: 10.1007/978-3-030-12927-9Online resources: 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 informationSummary: 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 SystemsPPN: PPN: 1067368094Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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