{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":20,"n_cols":5,"rows_kept":20,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[12,2,12,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910497099903321"]
[null,null,"Autore",null,"Kahraman Cengiz"]
[null,null,"Titolo",null,"Intelligent and Fuzzy Techniques in Aviation 4. 0 : Theory and Applications"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing AG, , 2021"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-030-75067-1"]
[null,null,"Descrizione fisica",null,"1 online resource (547 pages)"]
[null,null,"Collana",null,"Studies in Systems, Decision and Control Ser. ; ; v.372"]
[null,null,"Soggetti",null,"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Contents -- Contributors -- Introduction to Intelligent and Fuzzy Techniques in Aviation 4.0: Theory and Applications -- Aviation 4.0 Revolution -- 1 Introduction -- 2 Aviation 4.0 Technologies -- 2.1 Ground Services Application in Aviation 4.0 -- 2.2 Maintenance and Production in Aviation 4.0 -- 2.3 Unmanned Aerial Vehicle Technology in Aviation 4.0 -- 3 Aviation 4.0 in the Literature -- 4 The Future of the Aviation Revolution -- 5 Conclusion -- References -- Intelligent Systems in Aviation 4.0 Industry -- 1 Introduction -- 2 Intelligent Systems -- 3 Intelligence in Aviation 4.0 -- 4 Fuzzy Systems in Aviation 4.0 -- 5 Fuzzy MCDM Methods in Aviation 4.0 -- 6 Conclusions -- References -- Intelligent and Fuzzy Applications in Aviation 4.0 Ground Services -- Fuzzy Logic Controller for Aviation Parking with 5G Communication Technology -- 1 Introduction -- 2 Preliminaries -- 3 Material and Method -- 4 Proposed Model -- 4.1 Case Study -- 4.2 Proposed Model -- 4.3 Parameters -- 4.4 Assumptions -- 4.5 Assigning of Neutrosophic Numbers and De-Neutrosophication -- 4.6 De-Neutrosophication -- 4.7 FLC Approach for the Calculation of Time -- 4.8 Defuzzification -- 4.9 Membership Function Editor -- 4.10 The Rule Editor -- 4.11 Defuzzified Results -- 4.12 Mobile Usability -- 4.13 How It Will Work? and the Role of 5G? -- 5 Result Discussion and Conclusion -- References -- An Integrated Fuzzy Decision Making and Integer Programming Model for Robot Selection for a Baggage Robot System -- 1 Introduction -- 2 Literature Review -- 3 Conventional Baggage Handling Systems -- 4 Baggage Robot Systems -- 5 Proposed Model -- 6 Application of the Proposed Model -- 7 Conclusion -- References -- "]
[{"$nulls":4},"Complex Spherical Fuzzy Sets  and an Application to Catering Services  in Aviation 4.0 -- 1 Introduction -- 2 Methodology -- 2.1 Complex Spherical Fuzzy Sets."]
[{"$nulls":4},"2.2 The EDAS Model with Complex Spherical Fuzzy Information -- 3 Application of CSFSs for MCDM Problems -- 4 Discussion -- 5 Conclusions -- References -- Digitalization on Aviation 4.0: Designing a Scikit-Fuzzy Control System for In-Flight Catering Customer Satisfaction -- 1 Introduction -- 2 Proposed Methodology -- 3 Application -- 4 Conclusion and Discussion -- References -- Analysis of Intelligent Software Implementations in Air Cargo Using Fermatean Fuzzy CODAS Method -- 1 Introduction -- 2 Literature Review -- 3 Air Cargo System -- 4 CODAS Method -- 4.1 Crisp CODAS Method -- 4.2 Fuzzy Extensions of the CODAS Method -- 5 Fermatean Fuzzy CODAS Method -- 5.1 Algebraic Operations of FFNs -- 5.2 Ranking of Fermatean Fuzzy Sets -- 5.3 Proposed Methodology -- 6 Application -- 7 Conclusion -- References -- Intelligent and Fuzzy Applications in Aircraft Handling Services with Aviation 4.0 -- 1 Introduction -- 2 Aircraft Ground Handling Operations -- 3 Ground Handling Fleets Automation -- 3.1 Previous Ground Handling Automation Studies -- 3.2 ACDM and Ground Handling Decision Making -- 3.3 Ground Handling Management Structures -- 4 Mathematical Formulation of GSE Decision Problems -- 4.1 Resources and Demand for Ground Handling Services -- 4.2 Formulation of the GSE Assignment Problem for Type I Operations -- 4.3 Formulation of the GSE Assignment Problem Type II -- 4.4 Formulation of the GSE Assignment Problem Type III -- 4.5 Formulation of the GSE Assignment Problem Type IV -- 5 Conclusions -- References -- Novel Spherical Fuzzy Eco-holonic Concept in Sustainable Supply Chain of Aviation Fuel -- 1 Introduction -- 2 Literature Review -- 2.1 Holarchy and Holonic Structures -- 2.2 Decision Making -- 2.3 Aviation Industry and Aviation Fuel Supply Chain -- 2.4 Sustainable Supply Chain (SSC) for Fuel of Airlines -- 3 Preliminaries."]
[{"$nulls":4},"3.1 Eco-holarchy and Eco-holonic Structure -- 3.2 Spherical Fuzzy Sets -- 4 Methodology -- 4.1 Spherical Fuzzy Eco-holarchy (SF Eco-holarchy) -- 4.2 SF Eco-holarchy Application in a MAGDM Problem -- 5 Application -- 6 Conclusion -- References -- On-Board Cost Index Computation Through Fuzzy Logic -- 1 Introduction -- 2 Needs for Enhanced Automation of Flight Management -- 3 On-Board Flight Plan Generation -- 3.1 Main Functions of Flight Management Systems -- 4 Cost Index -- 4.1 The Flight Costs -- 4.2 Definition of the Cost Index -- 4.3 Current Usage of Cost Index -- 4.4 Vertical Profile Optimization -- 5 Tactical Cost Index Fuzzy Computation -- 5.1 The Operational Framework -- 5.2 Fuzzy Monitoring of the Cost Index -- 5.3 Tactical Cost Index Calculation -- 5.4 A Rule-Based Specialist Decision Maker in Aviation 4.0 -- 5.5 Case Study -- 6 Conclusions -- References -- Intelligent and Fuzzy Applications in Aviation 4.0 Aircraft Maintenance/Production Management -- Toward Joint Application of Fuzzy Systems and Augmented Reality in Aircraft Disassembly -- 1 Introduction -- 2 Aircraft Disassembly -- 3 Fuzzy Approaches to Disassembly Planning -- 4 Application of Augmented Reality in Disassembly -- 5 Fuzzy Approach and Augmented Reality in Disassembly -- 6 Application Perspective -- 7 Conclusion -- References -- Some Novel Preference Relations  for Picture Fuzzy Sets and Selection  of 3-D Printers in Aviation 4.0 -- 1 Introduction -- 2 Literature Review: Aviation 4.0 -- 3 Preliminaries -- 4 Picture Fuzzy Preference Relations and Incomplete Picture Fuzzy preference Relations -- 4.1 Picture Fuzzy Preference Relations -- 4.2 Incomplete Picture Fuzzy Preference Relations -- 5 Some Alternative Ranking Algorithms "]
[{"$nulls":4},"-- 5.1 PFPR Based Algorithm for Rank the Alternatives -- 5.2 Case Study -- 5.3 Incomplete PFPR Based Algorithm for Rank the Alternatives."]
[{"$nulls":4},"5.4 Numerical Example -- 6 Conclusion -- References -- A Conceptual Framework for Estimating the Remaining Operational Lifetime of the Recovered Components from End of Life Aircraft Using Fuzzy Simulation and Digital Twin -- 1 Introduction -- 2 Application of Industry 4.0 in Aircraft Maintenance -- 3 Fuzzy Models in Aircraft Maintenance -- 4 Estimating RUL of the Complex Products -- 5 Digital Models and the Advantages in Maintenance and Complex Products Health Monitoring -- 6 A Conceptual Framework Using the Digital Model and Fuzzy Simulation for Estimating RUL -- 7 Conclusion -- References -- Designing a System Architecture for the Management of the Recovered Parts from End-of-Life Aircraft Using Fuzzy Decision Making and Blockchain -- 1 Introduction -- 2 Literature Review -- 3 Aircraft at the End of Life and Parts Management -- 4 Proposed System Architecture Using Fuzzy Logic and Blockchain -- 5 Application Perspectives -- 6 Conclusion -- References -- Intelligent and Fuzzy Applications in Aviation 4.0 Transportation and Cargo Management -- A Hybrid Model Based on FAHP and WASPAS for Evaluation of Explosive and Narcotics Trace Detection Devices -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 FAHP -- 3.2 WASPAS -- 4 Case Study -- 4.1 Scenario Analysis -- 5 Conclusion -- References -- Selection of the Best Face Recognition System for Check in and Boarding Services -- 1 Introduction -- 2 Face Recognition-State of Art, Developments and Challenges in the Context of Aviation 4.0 -- 3 Literature Review -- 4 Methodology -- 4.1 Fuzzy Z-Numbers -- 4.2 Fuzzy Z-AHP -- 4.3 Fuzzy Z-Grey Relational Analysis -- 5 Application -- 6 Conclusion -- References -- Intelligent and Fuzzy Approaches in Aviation 4.0 Transportation and Cargo Applications -- 1 Introduction -- 2 Literature Review -- 3 Axiomatic Design -- 3.1 Independence Axiom."]
[{"$nulls":4},"3.2 Information Axiom -- 3.3 Fuzzy Independence Axiom -- 3.4 Fuzzy Information Axiom -- 4 Design Principles of Smart Containers -- 5 Conclusion -- References -- Intelligent and Fuzzy Applications in Aviation 4.0 Unmanned Aerial Vehicle Technologies -- Blockchain Applications in UAV-Towards Aviation 4.0 -- 1 Introduction -- 1.1 Role of BCT in Aviation -- 2 Literature Review -- 2.1 Blockchain Technology and Its Implementation Architecture -- 2.2 BCT Classification -- 2.3 BCT and Aviation System Applications -- 3 Methodology -- 4 Applications of BCT-Based Aviation System -- 5 Conclusion and Discussion -- References -- Intelligent and Fuzzy UAV Transportation Applications in Aviation 4.0 -- 1 Introduction -- 2 Literature Review -- 2.1 Vehicle Routing Problem -- 2.2 Path Planning Problem -- 2.3 Facility Location Problem -- 2.4 Other Related UAV Problems -- 3 Methodology -- 3.1 Fuzzy Mathematical Model -- 3.2 The Crisp Equivalent of the Fuzzy Model -- 4 Solution Method and Results -- 5 Conclusion -- References -- Spherical Fuzzy Inference Systems (S-FIS) to Control UAVs' Communication Technologies -- 1 Introduction -- 2 Literature Review -- 2.1 Fuzzy Logic and Fuzzy Inference Systems (FIS) -- 2.2 Fuzzy Sets Evolution and Spherical Fuzzy Sets (SFSs) -- 2.3 Unmanned Aerial Vehicles (UAVs) -- 3 Methodology -- 3.1 Preliminaries -- 3.2 Proposed Methodology -- 4 An Application of S-FIS: To Control and Select UAVs' Communication Technologies -- 5 Conclusion -- References -- Technology Analysis for Logistics 4.0 Applications: Criteria Affecting UAV Performances -- 1 Introduction -- 2 Unmanned Aerial Vehicle and Aviation 4.0 Concepts -- 3 Methods -- 3.1 Pythagorean Fuzzy AHP -- 3.2 Hesitant Fuzzy Linguistic Term Set -- 4 Application -- 5 Results and Discussion -- References."]
[{"$nulls":4},"A Novel Mathematical Model to Design UAV Trajectory for Search and Rescue Operations in Disaster."]