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Interval-valued methods in classific...

Bentkowska, Urszula.

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Interval-valued methods in classifications and decisions

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Interval-valued methods in classifications and decisions/ by Urszula Bentkowska.
作者:	Bentkowska, Urszula.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xv, 163 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Fuzzy sets. -
電子資源:	https://doi.org/10.1007/978-3-030-12927-9
ISBN:	9783030129279

Interval-valued methods in classifications and decisions
Bentkowska, Urszula.

Interval-valued methods in classifications and decisions[electronic resource] /by Urszula Bentkowska. - Cham :Springer International Publishing :2020. - xv, 163 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3781434-9922 ;. - Studies in fuzziness and soft computing ;v.378..

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.

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.

ISBN: 9783030129279

Standard No.: 10.1007/978-3-030-12927-9doiSubjects--Topical Terms:

562997
Fuzzy sets.

LC Class. No.: QA248.5 / .B468 2019

Dewey Class. No.: 511.3223

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