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دسته بندی: علوم (عمومی) ویرایش: نویسندگان: Cengiz Kahraman. Serhat Aydin سری: Studies in Systems, Decision and Control 372 ISBN (شابک) : 9783030750664, 9783030750695 ناشر: Springer سال نشر: 2022 تعداد صفحات: 547 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 14 مگابایت
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در صورت تبدیل فایل کتاب Intelligent and Fuzzy Techniques in Aviation 4.0: Theory and Applications به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب تکنیک های هوشمند و فازی در هوانوردی 4.0: نظریه و کاربردها نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب یک راهنمای مرجع جامع برای تئوری و عمل تکنیک های هوشمند و فازی در Aviation 4.0 ارائه می دهد. هنگامی که اطلاعات ناقص، مبهم و نادرست یا دادههای ناکافی در دست است، جایی که روشهای مدلسازی کلاسیک نمیتوانند اعمال شوند، ابزارهای هوشمند و فازی لازم برای Aviation 4.0 را در اختیار خوانندگان قرار میدهد. فصول مربوطه که توسط محققین برجسته نوشته شده است، انبوهی از مفاهیم پایه و پیشرفته از جمله خدمات چمدان، خدمات پذیرایی، خدمات ورود و سوار شدن به هواپیما، نگهداری و مدیریت بار، امنیت و غیره را توضیح میدهد. برای تقویت درک خواننده، همه فصلها شامل موارد مرتبط هستند. مثال های عددی یا مطالعات موردی روی هم رفته، آنها یک راهنمای مرجع عالی برای محققان، مدرسان و دانشجویان تحصیلات تکمیلی که به دنبال تحقیق در مورد هوانوردی 4.0 هستند، تشکیل می دهند. علاوه بر این، با گسترش تمام جنبههای اصلی Aviation 4.0 به همتایان هوشمند و فازی آن، این کتاب تصویری پویا از این زمینه ارائه میکند که انتظار میرود جهتها، ایدهها و پیشرفتهای جدیدی را تحریک کند.
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.
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 Complex Spherical Fuzzy Sets and an Application to Catering Services in Aviation 4.0 1 Introduction 2 Methodology 2.1 Complex Spherical Fuzzy Sets 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 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 5.1 PFPR Based Algorithm for Rank the Alternatives 5.2 Case Study 5.3 Incomplete PFPR Based Algorithm for Rank the Alternatives 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 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 A Novel Mathematical Model to Design UAV Trajectory for Search and Rescue Operations in Disaster 1 Introduction 2 Preliminaries and Basic Concepts 2.1 Spherical Fuzzy Sets 2.2 Similarity Measures 3 Problem Definition 3.1 Trajectory Planning and Designing 3.2 The Potential Risk Degree 4 Proposed Model and Solution Methodology 4.1 Potential Risk Degree Calculation 4.2 Proposed Mathematical Model to Obtain the Flight Trajectory 5 Application 6 Sensitivity Analyses 7 Conclusion References Index