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020 _a9789811076886
024 7 _a10.1007/978-981-10-7688-6
_2doi
040 _aES-VaUEC
_bspa
_cES-VaUEC
_dES-VaUE
050 4 _aHD30.2
_b2023 EB
100 _aLin, Shaopei
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9516828
245 1 0 _aFuzzy Quantitative Management :
_bPrinciples, Methodologies and Applications
_cby Shaopei Lin, Guohua Zhao
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 _aFuzzy Management Methods
_x2196-4149
505 0 _aPhilosophical Consideration of Quantitative management -- The role of "Fuzz-AI Model" in Quantitative Management -- The Conceptual Investigation of "Deep Data" and "Deep Knowledge" -- Fuzzy Quantitative Risk Management -- Quantitative Studies in Risk Management by Knowledge Engineering -- Fuzzy Quantitative Management in Economics -- Fuzzy Programming Modeling for Decision Making -- The Advances in Quantitative Management in Decision.
520 _aThis book is devoted to fuzzy quantitative studies in managerial science, discussing the philosophical background and decision-making essentials. For reference, a series of practical examples illustrate broad areas of application that are important in project risk management problems, and in complicated mega projects. Using computers to simulate human intelligence with fuzzy approaches is the basis of "Fuzzy-AI model," which offers an efficient tool capable of simulating human intelligence in order to perform digitized decision inference and quantitative information management.
988 _aSpringer_Business_2023
650 7 _2embne
_929129
_aGestión de marketing
700 1 _9518148
_aZhao, Guohua
_eautor
830 0 _aFuzzy Management Methods,
_x2196-4149
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-7688-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
_n0
998 _db
_ee
_b01/2024
_zSI