Buch, Englisch, Band 377, 413 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 828 g
Recent Advances and Applications
Buch, Englisch, Band 377, 413 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 828 g
Reihe: Studies in Fuzziness and Soft Computing
ISBN: 978-3-030-10462-7
Verlag: Springer International Publishing
This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Technik Allgemein Modellierung & Simulation
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
Weitere Infos & Material
A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis.- Solving a Fuzzy Tourist Trip Design Problem with Clustered Points of Interest.- Fully Fuzzy Linear Programming Model For the Berth Allocation Problem with Two Quays.- Ideal reference method with linguistic labels: a comparison with LTOPSIS.- Fuzzy cognitive maps for evaluating software usability.- Ideal reference method with linguistic labels: a comparison with LTOPSIS.- A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis.
