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Bentkowska, Urszula.
Interval-valued methods in classifications and decisions
Record Type:
Electronic resources : Monograph/item
Title/Author:
Interval-valued methods in classifications and decisionsby Urszula Bentkowska.
Author:
Bentkowska, Urszula.
Published:
Cham :Springer International Publishing :2020.
Description:
xv, 163 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Fuzzy sets.
Online resource:
https://doi.org/10.1007/978-3-030-12927-9
ISBN:
9783030129279$q(electronic bk.)
Interval-valued methods in classifications and decisions
Bentkowska, Urszula.
Interval-valued methods in classifications and decisions
[electronic resource] /by Urszula Bentkowska. - Cham :Springer International Publishing :2020. - xv, 163 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3781434-9922 ;. - Studies in fuzziness and soft computing ;v.273..
Fuzzy Sets and their Extensions -- Aggregation in Interval-valued Settings -- Decision Making using Interval-valued Aggregation -- Optimization Problem of k-NN classifier in DNA Microarray Methods -- Interval-valued Methods in Medical Decision Support Systems.
This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators. It then presents applications such as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed algorithms to DNA microarray analysis and in medical decision support systems are shown. The book is intended not only as a timely report for the community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect information.
ISBN: 9783030129279$q(electronic bk.)
Standard No.: 10.1007/978-3-030-12927-9doiSubjects--Topical Terms:
182529
Fuzzy sets.
LC Class. No.: QA248.5 / .B468 2019
Dewey Class. No.: 511.3223
Interval-valued methods in classifications and decisions
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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.
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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.
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Intelligent Technologies and Robotics (Springer-42732)
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000000182978
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1圖書
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EB QA248.5 .B476 2019 2020
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https://doi.org/10.1007/978-3-030-12927-9
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