Overview
- First book to exclusively focus on fuzzy dual numbers
- Shows how to solve some engineering/management problems using fuzzy dual numbers
- Includes detailed numerical examples
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 359)
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Table of contents (7 chapters)
Keywords
About this book
This is the first book focusing exclusively on fuzzy dual numbers. In addition to offering a concise guide to their properties, operations and applications, it discusses some of their advantages with regard to classical fuzzy numbers, and describes the most important operations together with a set of interesting applications in e.g. optimization, decision-making and system design. The book provides students, researchers and professionals the necessary theoretical background to apply this particular subset of fuzzy numbers to decision-making problems involving uncertainty. Further, it shows how to solve selected engineering and management problems and includes detailed numerical examples.
Reviews
“The book provides the necessary theoretical background to apply this particular subset of fuzzy numbers to decision-making problems involving uncertainty. … it shows how to solve selected engineering and management problems and includes detailed numerical examples.” (Barbara Pekala, zbMATH 1462.03005, 2021)
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy Dual Numbers
Book Subtitle: Theory and Applications
Authors: Felix Mora-Camino, Carlos Alberto Nunes Cosenza
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-65418-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-65417-1Published: 12 October 2017
Softcover ISBN: 978-3-319-88024-2Published: 18 May 2018
eBook ISBN: 978-3-319-65418-8Published: 02 October 2017
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIII, 62
Number of Illustrations: 21 b/w illustrations
Topics: Computational Intelligence, Calculus of Variations and Optimal Control; Optimization, Operations Research/Decision Theory, Artificial Intelligence