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008 150903s2009 gw | o |||| 0|eng d
020 _a9783642021879
_99783642021879
024 7 _a10.1007/9783642021879
_2doi
035 _avtls000353281
039 9 _a201509030510
_bVLOAD
_c201405060318
_dVLOAD
_y201402180940
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA329-348
100 1 _aRakus-Andersson, Elisabeth.
_eeditor.
_9332259
245 1 0 _aRecent Advances in Decision Making /
_cedited by Elisabeth Rakus-Andersson, Ronald R. Yager, Nikhil Ichalkaranje, Lakhmi C. Jain.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2009.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v222
500 _aSpringer eBooks
505 0 _aAdvances in Decision Making -- Amount of Information and Its Reliability in the Ranking of Atanassov’s Intuitionistic Fuzzy Alternatives -- Fuzzy Rule Base Model Identification by Bacterial Memetic Algorithms -- Discovering Associations with Uncertainty from Large Databases -- Dempster-Shafer Structures, Monotonic Set Measures and Decision Making -- The Development of Interpretable Decision-Making Models: A Study in Information Granularity and Semantically Grounded Logic Operators -- A General Methodology for Managerial Decision Making Using Intelligent Techniques -- Supporting Decision Making via Verbalization of Data Analysis Results Using Linguistic Data Summaries -- Computational Intelligence in Medical Decisions Making.
520 _aIntelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making A new method of ranking intuitionistic fuzzy alternatives Fuzzy rule base model identification by bacterial memetic algorithms Discovering associations with uncertainty from large databases Dempster-Shafer structures, monotonic set measures and decision making Interpretable decision-making models A General methodology for managerial decision making Supporting decision making via verbalization of data analysis results using linguistic data summaries Computational intelligence in medical decisions making This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aYager, Ronald R.
_eeditor.
_9337064
700 1 _aIchalkaranje, Nikhil.
_eeditor.
_9331287
700 1 _aJain, Lakhmi C.
_eeditor.
_9316542
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642021862
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-02187-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c299902
_d299902