Interval-Valued Methods in Classifications and Decisions

Urszula Bentkowska (Autor)

Buch | Hardcover

XV, 163 Seiten

2019 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-12926-2 (ISBN)

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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.

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.

Erscheinungsdatum	22.02.2019
Reihe/Serie	Studies in Fuzziness and Soft Computing
Zusatzinfo	XV, 163 p. 12 illus., 5 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	438 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Bioinformatik
	Technik
Schlagworte	Classification in the Case of Missing Values • Classification of Microarray Data • fuzzy preference relations • Interval Modeling of Incomplete Data • Interval-valued Aggregations • Vertical Decomposition
ISBN-10	3-030-12926-8 / 3030129268
ISBN-13	978-3-030-12926-2 / 9783030129262
Zustand	Neuware