Intelligent and Fuzzy Techniques in Aviation 4.0

Theory and Applications
1. Auflage 2022
ISBN: 978-3-030-75069-5
Verlag: Springer International Publishing

Buch, Englisch, Band 372, 545 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 844 g

Reihe: Studies in Systems, Decision and Control

This book offers a comprehensive reference guide for the theory and practice of intelligent and fuzzy techniques in Aviation 4.0. It provides readers with the necessary intelligent and fuzzy tools for Aviation 4.0 when incomplete, vague, and imprecise information or insufficient data exist in hand, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including baggage services, catering services, check-in and boarding services, maintenance and cargo management, security, etc. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on Aviation 4.0. Moreover, by extending all the main aspects of Aviation 4.0 to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.

Zielgruppe

Research

Autoren/Hrsg.

Ayd¿n, Serhat

Kahraman, Cengiz

Aydin, Serhat

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr

Inhaltsverzeichnis

Aviation 4.0 Revolution.- Intelligent and Fuzzy Systems in Aviation 4.0 industry.- Fuzzy Logic Controller for Aviation Parking with 5G Communication Technology.- An Integrated Fuzzy Decision Making and Integer Programming Model for Robot Selection for a Baggage Robot System.- Intelligent and Fuzzy Applications in Catering Services with Aviation 4.0 Applications.- Digitalization on Aviation 4.0: Designing A Scikit-Fuzzy Control System for In-flight Catering Customer Satisfaction.- Analysis of Intelligent Software Implementations in Air Cargo using Fermatean Fuzzy CODAS Method.- Intelligent and Fuzzy Applications in Air-craft handling Services with Aviation 4.0.- Novel spherical fuzzy Eco-Holonic Concept in Sustainable Supply Chain of Aviation Fuel.- On-board Cost Index Computation through Fuzzy Logic.