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Interval-Valued Methods in Classifications and Decisions [[electronic resource] /] / by Urszula Bentkowska



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Autore: Bentkowska Urszula Visualizza persona
Titolo: Interval-Valued Methods in Classifications and Decisions [[electronic resource] /] / by Urszula Bentkowska Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XV, 163 p. 12 illus., 5 illus. in color.)
Disciplina: 511.322
Soggetto topico: Computational intelligence
Bioinformatics
Microarrays
Computer simulation
Computational Intelligence
Computational Biology/Bioinformatics
Simulation and Modeling
Nota di contenuto: 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.
Sommario/riassunto: 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. .
Titolo autorizzato: Interval-Valued Methods in Classifications and Decisions  Visualizza cluster
ISBN: 3-030-12927-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484851303321
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Serie: Studies in Fuzziness and Soft Computing, . 1434-9922 ; ; 378