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008			230302s2023 si | o |||| 0|eng d
020			_a9789811999321
024	7		_a10.1007/978-981-19-9932-1 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aT57.6 _b2023 EB
100	1		_aDelcea, Camelia _eautor _0(orcid)0000-0003-3589-1969 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9518380
245	1	0	_aAdvancements of Grey Systems Theory in Economics and Social Sciences _cby Camelia Delcea, Liviu-Adrian Cotfas
250			_a1st ed 2023
264		1	_aSingapore _c2023 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSeries on Grey System _x2731-4944
505	0		_aState of the art in Grey Systems Research in Economics and Social Sciences -- Grey Relational Analysis in Companies' Diagnosis -- Grey Models for Decision-Making Problem -- Risk Assessment using Grey Systems Theory -- Suppliers Selection and Optimal Resources Allocation using Grey-based Models -- Combined Grey-based Methods in Logistics -- Behavioral Assessment using Grey and Hybrid Approaches -- Grey Social Media Analysis and Grey Natural Language Processing -- Grey Clustering in Economic Analysis -- Hybrid-Intelligent Methods in Economics and Social Sciences.
520			_aThis 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 processing Each 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. .
988			_aSpringer_Business_2023
650		7	_96736 _aAnálisis de sistemas _2embne
700	1		_9518381 _aCotfas, Liviu-Adrian
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-9932-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_b02/2024 _db _el _zSI