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Intelligent and fuzzy techniques in ...

Kahraman, Cengiz.

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Intelligent and fuzzy techniques in aviation 4.0 = theory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent and fuzzy techniques in aviation 4.0/ edited by Cengiz Kahraman, Serhat Aydin.
其他題名:	theory and applications /
其他作者:	Kahraman, Cengiz.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xvii, 545 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Aerospace engineering - Technological innovations. -
電子資源:	https://doi.org/10.1007/978-3-030-75067-1
ISBN:	9783030750671

Intelligent and fuzzy techniques in aviation 4.0 = theory and applications /
Intelligent and fuzzy techniques in aviation 4.0theory and applications /[electronic resource] :edited by Cengiz Kahraman, Serhat Aydin. - Cham :Springer International Publishing :2022. - xvii, 545 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 3722198-4190 ;. - Studies in systems, decision and control ;v. 372..

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.

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.

ISBN: 9783030750671

Standard No.: 10.1007/978-3-030-75067-1doiSubjects--Topical Terms:

3590616
Aerospace engineering
--Technological innovations.

LC Class. No.: TL545 / .I57 2022

Dewey Class. No.: 629.1

Intelligent and fuzzy techniques in aviation 4.0 = theory and applications /
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520 $a 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.
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