Advancements of Grey Systems Theory in Economics and Social Sciences:
This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory. As a result, it addresses both the state of the art and the applications of grey systems theory in economics and social sciences. The book is structured in eight main ch...
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| Format: | Buch |
| Sprache: | English |
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Springer
[2023]
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| Schriftenreihe: | Series on Grey System
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| Zusammenfassung: | This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory. As a result, it addresses both the state of the art and the applications of grey systems theory in economics and social sciences. The book is structured in eight main chapters, covering the following topics: the state of the art in the grey systems theory research in economics and social sciences, which includes a bibliometric analysis, a selection of the most well-cited papers in the field, and a selection of applications in which the grey systems theory is used in the areas of suppliers selection, risk assessment, public opinion assessment, linear programming, complex projects management, social media analysis, and natural language processingEach chapter gives an overview of a particular economic or social sciences topic, providing an explanation on the main terms and methods used for solving the problem, including the notations, terminology, and the needed steps to solve it. A practical application is presented in most of the chapters, while in the others, a series of case studies are presented from the literature and discussed in depth in terms of methods used and advantages brought by each of these methods. The last chapter discusses the hybridization cases in which the grey systems theory has been or can be successfully used along with other artificial intelligence methods and techniques for a more advanced analysis in the economics and social sciences field.The reasoning and the explanations used in the book are easy to understand for the interested persons who are not familiar to the field and want to learn more related on how the grey systems theory can be applied to economics and social sciences. As for the experts in this field, this book can be a good referral point for developing new areas of research by combining the advantages of the grey systems theory with other theories within the field |
| Beschreibung: | VIII, 333 Seiten Illustrationen |
| ISBN: | 9789811999314 |
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| 520 | |a This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory. As a result, it addresses both the state of the art and the applications of grey systems theory in economics and social sciences. The book is structured in eight main chapters, covering the following topics: the state of the art in the grey systems theory research in economics and social sciences, which includes a bibliometric analysis, a selection of the most well-cited papers in the field, and a selection of applications in which the grey systems theory is used in the areas of suppliers selection, risk assessment, public opinion assessment, linear programming, complex projects management, social media analysis, and natural language processingEach chapter gives an overview of a particular economic or social sciences topic, providing an explanation on the main terms and methods used for solving the problem, including the notations, terminology, and the needed steps to solve it. A practical application is presented in most of the chapters, while in the others, a series of case studies are presented from the literature and discussed in depth in terms of methods used and advantages brought by each of these methods. The last chapter discusses the hybridization cases in which the grey systems theory has been or can be successfully used along with other artificial intelligence methods and techniques for a more advanced analysis in the economics and social sciences field.The reasoning and the explanations used in the book are easy to understand for the interested persons who are not familiar to the field and want to learn more related on how the grey systems theory can be applied to economics and social sciences. As for the experts in this field, this book can be a good referral point for developing new areas of research by combining the advantages of the grey systems theory with other theories within the field | ||
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| adam_text | Contents 1 State of the Art in Grey Systems Research in Economics and Social Sciences ......................................................................................... Introduction ......................................................... Materials and Methods .................................................................................. Dataset Analysis ............................................................................................ Dataset Overview...................................................................................... Sources ...................................................................................................... Authors ...................................................................................................... Papers’ Analysis........................................................................................ Mixed Analysis ........................................................................................ Concluding Remarks .................................................................................... References .................................................................. 2 3 Grey Numbers for Sentiment Analysis and Natural Language Processing .................................................................................................... 1 1 4 8 9 10 13 18 36 39 40 45 Introduction .................................................................................................... Sentiment Analysis Lexicons ...................................................................... Grey
Numbers ................................................................................................ Arithmetic of Grey Numbers........................................................................ Basic Operations ...................................................................................... Examples of Basic Operations ................................................................ Comparison of Grey Numbers...................................................................... Discrete Grey Numbers Comparison...................................................... Interval Grey Numbers Comparison ...................................................... Sentiment Analysis Using Grey Numbers .................................................. Concluding Remarks .................................................................................... References ...................................................................................................... 45 46 46 49 49 50 51 53 56 73 82 83 Supplier Selection Using Grey Systems Theory....................................... 85 85 Introduction .................................................................................................... State of the Art in Supplier Selection Through Grey Systems Theory Approach .......................................................................................... 88 v
vi Contents Bibliometric Analysis ................................................................................ Grey Supplier Selection ............................................................................ Application of Grey Numbers to Supplier Selection .................................. Xie and Xin Approach to Supplier Selection Based on Grey Numbers ..................................................................................................... Practical Application on Supplier Selection............................................ Concluding Remarks ......................................................................... ........... Annex A: The Code for Determining the Probability P (®a ®b) ........ References ....................................................................................................... 89 95 104 114 119 134 134 135 4 Risk Assessment and Transport Cost Reduction Based on Grey Clustering ................................................................................................. 139 Introduction ..................................................................................................... 139 Literature Review ........................................................................................... 141 Literature Review on Airplane Boarding ................................................ 141 Literature Review on Grey Clustering...................................................... 144 Grey Clustering and Whitenization Weight Functions................................ 145 Assumptions and
Metrics................................................................................ 150 Assumptions on Social Distance Measures ............................................ 153 Assumptions on Variations in Back-to-Front Boarding Method .......... 154 Metrics......................................................................................................... 158 Agent-Based Model Implementation ............................................................ 162 Results ............................................................................................................. 164 Simulation Results for the Considered Metrics ...................................... 164 Grey Clustering of the Variations in Back-to-Front Boarding Method....................................................................................... 169 Concluding Remarks ..................................................................................... 173 References ...................................................................................................... 174 5 Public Opinion Assessment Through Grey Relational Analysis Approach .................................................................................................. Introduction ..................................................................................................... Argument for the Public Opinion Assessment in the COVID-19 Vaccination Context ........................................................................................ Literature Review
............................................................................................ Literature Review on COVID-19 Vaccination ......................................... Literature Review on Grey Relational Analysis....................................... Methodology ......................................................................................... Dataset Collection ...................................................................... Classifier Selection .............................................................. Stance Detection ............................................................ Grey Relational Analysis .......................................... News Incidence Detection .................................... Dataset Characteristics .............................. Classifier Selection .......... Stance Detection .................................... News Incidence on People’s Opinion 179 179 179 181 181 182 184 184 184 186 186 188 189 190 193 194
Contents 6 Concluding Remarks .................................................................................... References ...................................................................................................... 195 196 Grey Systems Theory Approach to Linear Programming.................... 201 201 202 204 206 208 215 218 221 221 237 242 249 250 Introduction .................................................................................................... Brief Presentation of Linear Programming Basic Elements ..................... Forms of the Linear Programming Problem........................................... Feasible Solutions, Feasible Region and Optimal Solutions ................ Numerical Example.................................................................................. Grey Linear Programming............................................................................ Literature Review on Grey Linear Programming ....................................... Theoretical Approach to Grey Linear Programming ................................. Whitening Parameters Models ................................................................ Liu and Lin’s Prediction Type Model ..................................................... Lin and Liu’s Positioned Solution Model............................................... Concluding Remarks .................................................................................... References ..................................................................................................... 7 Complex Projects Management
with Interval Grey Numbers ............ Introduction .................................................................................................... Brief Presentation of Projects Management ............................................... Activities and the Precedence Relationships ............ ............................ Network Representation .......................................................................... Gantt Diagram .......................................................................................... Literature Review on Grey Systems Theory in Projects Management .... Theoretical and Practical Approach to Project Scheduling with Grey Numbers........................................................................................ Theoretical Approach to Project Scheduling withGrey Numbers .... Practical Approach to Project Scheduling withGreyNumbers.............. Concluding Remarks .................................................................................... References ...................................................................................................... 8 vii 253 253 254 254 256 263 264 265 265 274 278 279 281 Introduction .................................................................................................... 281 Grey-Fuzzy Approaches in Economics and SocialSciences ..................... 282 Dataset Overview...................................................................................... 282 Sources ...................................................................................................... 284
Authors ...................................................................................................... 2^6 Papers’ Analysis........................................................................................ 287 Mixed Analysis ........................................................................................ 294 Grey-Neural Networks Approaches in Economics and Social Sciences .......................................................................................................... 295 Dataset Overview.......................................................................... 295 Sources ...................................................................................................... 298 Authors ...................................................................................................... 298 Papers’ Analysis........................................................................................ 3θθ Hybrid Approaches Featuring GreySystems Theory ............................
viii Contents Mixed Analysis .......................................................................................... Grey-Genetic Algorithms Approaches in Economics and Social Sciences Dataset Overview...................................................................................... · Sources ........................................................................................................ Authors ........................................................................................................ Papers’ Analysis.......................................................................................... Mixed Analysis .......................................................................................... Grey-Rough Sets Approaches in Economics and Social Sciences............ Dataset Overview........................................................................................ Sources ........................................................................................................ Authors ........................................................................................................ Papers’ Analysis.......................................................................................... Mixed Analysis .......................................................................................... Concluding Remarks ...................................................................................... References ........................................................................................................ ^ 308 308 311 313 315 319 320
320 322 324 324 329 331 332
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| adam_txt |
Contents 1 State of the Art in Grey Systems Research in Economics and Social Sciences . Introduction . Materials and Methods . Dataset Analysis . Dataset Overview. Sources . Authors . Papers’ Analysis. Mixed Analysis . Concluding Remarks . References . 2 3 Grey Numbers for Sentiment Analysis and Natural Language Processing . 1 1 4 8 9 10 13 18 36 39 40 45 Introduction . Sentiment Analysis Lexicons . Grey
Numbers . Arithmetic of Grey Numbers. Basic Operations . Examples of Basic Operations . Comparison of Grey Numbers. Discrete Grey Numbers Comparison. Interval Grey Numbers Comparison . Sentiment Analysis Using Grey Numbers . Concluding Remarks . References . 45 46 46 49 49 50 51 53 56 73 82 83 Supplier Selection Using Grey Systems Theory. 85 85 Introduction . State of the Art in Supplier Selection Through Grey Systems Theory Approach . 88 v
vi Contents Bibliometric Analysis . Grey Supplier Selection . Application of Grey Numbers to Supplier Selection . Xie and Xin Approach to Supplier Selection Based on Grey Numbers . Practical Application on Supplier Selection. Concluding Remarks . . Annex A: The Code for Determining the Probability P (®a ®b) . References . 89 95 104 114 119 134 134 135 4 Risk Assessment and Transport Cost Reduction Based on Grey Clustering . 139 Introduction . 139 Literature Review . 141 Literature Review on Airplane Boarding . 141 Literature Review on Grey Clustering. 144 Grey Clustering and Whitenization Weight Functions. 145 Assumptions and
Metrics. 150 Assumptions on Social Distance Measures . 153 Assumptions on Variations in Back-to-Front Boarding Method . 154 Metrics. 158 Agent-Based Model Implementation . 162 Results . 164 Simulation Results for the Considered Metrics . 164 Grey Clustering of the Variations in Back-to-Front Boarding Method. 169 Concluding Remarks . 173 References . 174 5 Public Opinion Assessment Through Grey Relational Analysis Approach . Introduction . Argument for the Public Opinion Assessment in the COVID-19 Vaccination Context . Literature Review
. Literature Review on COVID-19 Vaccination . Literature Review on Grey Relational Analysis. Methodology . Dataset Collection . Classifier Selection . Stance Detection . Grey Relational Analysis . News Incidence Detection . Dataset Characteristics . Classifier Selection . Stance Detection . News Incidence on People’s Opinion 179 179 179 181 181 182 184 184 184 186 186 188 189 190 193 194
Contents 6 Concluding Remarks . References . 195 196 Grey Systems Theory Approach to Linear Programming. 201 201 202 204 206 208 215 218 221 221 237 242 249 250 Introduction . Brief Presentation of Linear Programming Basic Elements . Forms of the Linear Programming Problem. Feasible Solutions, Feasible Region and Optimal Solutions . Numerical Example. Grey Linear Programming. Literature Review on Grey Linear Programming . Theoretical Approach to Grey Linear Programming . Whitening Parameters Models . Liu and Lin’s Prediction Type Model . Lin and Liu’s Positioned Solution Model. Concluding Remarks . References . 7 Complex Projects Management
with Interval Grey Numbers . Introduction . Brief Presentation of Projects Management . Activities and the Precedence Relationships . . Network Representation . Gantt Diagram . Literature Review on Grey Systems Theory in Projects Management . Theoretical and Practical Approach to Project Scheduling with Grey Numbers. Theoretical Approach to Project Scheduling withGrey Numbers . Practical Approach to Project Scheduling withGreyNumbers. Concluding Remarks . References . 8 vii 253 253 254 254 256 263 264 265 265 274 278 279 281 Introduction . 281 Grey-Fuzzy Approaches in Economics and SocialSciences . 282 Dataset Overview. 282 Sources . 284
Authors . 2^6 Papers’ Analysis. 287 Mixed Analysis . 294 Grey-Neural Networks Approaches in Economics and Social Sciences . 295 Dataset Overview. 295 Sources . 298 Authors . 298 Papers’ Analysis. 3θθ Hybrid Approaches Featuring GreySystems Theory .
viii Contents Mixed Analysis . Grey-Genetic Algorithms Approaches in Economics and Social Sciences Dataset Overview. · Sources . Authors . Papers’ Analysis. Mixed Analysis . Grey-Rough Sets Approaches in Economics and Social Sciences. Dataset Overview. Sources . Authors . Papers’ Analysis. Mixed Analysis . Concluding Remarks . References . ^ 308 308 311 313 315 319 320
320 322 324 324 329 331 332 |
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| spelling | Delcea, Camelia Verfasser (DE-588)1285183886 aut Advancements of Grey Systems Theory in Economics and Social Sciences Camelia Delcea, Liviu-Adrian Cotfas Singapore Springer [2023] © 2023 VIII, 333 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Series on Grey System This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory. As a result, it addresses both the state of the art and the applications of grey systems theory in economics and social sciences. The book is structured in eight main chapters, covering the following topics: the state of the art in the grey systems theory research in economics and social sciences, which includes a bibliometric analysis, a selection of the most well-cited papers in the field, and a selection of applications in which the grey systems theory is used in the areas of suppliers selection, risk assessment, public opinion assessment, linear programming, complex projects management, social media analysis, and natural language processingEach chapter gives an overview of a particular economic or social sciences topic, providing an explanation on the main terms and methods used for solving the problem, including the notations, terminology, and the needed steps to solve it. A practical application is presented in most of the chapters, while in the others, a series of case studies are presented from the literature and discussed in depth in terms of methods used and advantages brought by each of these methods. The last chapter discusses the hybridization cases in which the grey systems theory has been or can be successfully used along with other artificial intelligence methods and techniques for a more advanced analysis in the economics and social sciences field.The reasoning and the explanations used in the book are easy to understand for the interested persons who are not familiar to the field and want to learn more related on how the grey systems theory can be applied to economics and social sciences. As for the experts in this field, this book can be a good referral point for developing new areas of research by combining the advantages of the grey systems theory with other theories within the field bicssc bisacsh Statistics Operations research Management science System theory Control theory Cotfas, Liviu-Adrian Sonstige (DE-588)1285184114 oth Erscheint auch als Onlineausgabe 978-981-19-9932-1 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034124035&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Delcea, Camelia Advancements of Grey Systems Theory in Economics and Social Sciences bicssc bisacsh Statistics Operations research Management science System theory Control theory |
| title | Advancements of Grey Systems Theory in Economics and Social Sciences |
| title_auth | Advancements of Grey Systems Theory in Economics and Social Sciences |
| title_exact_search | Advancements of Grey Systems Theory in Economics and Social Sciences |
| title_exact_search_txtP | Advancements of Grey Systems Theory in Economics and Social Sciences |
| title_full | Advancements of Grey Systems Theory in Economics and Social Sciences Camelia Delcea, Liviu-Adrian Cotfas |
| title_fullStr | Advancements of Grey Systems Theory in Economics and Social Sciences Camelia Delcea, Liviu-Adrian Cotfas |
| title_full_unstemmed | Advancements of Grey Systems Theory in Economics and Social Sciences Camelia Delcea, Liviu-Adrian Cotfas |
| title_short | Advancements of Grey Systems Theory in Economics and Social Sciences |
| title_sort | advancements of grey systems theory in economics and social sciences |
| topic | bicssc bisacsh Statistics Operations research Management science System theory Control theory |
| topic_facet | bicssc bisacsh Statistics Operations research Management science System theory Control theory |
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