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008 141007s2015 gw | s |||| 0|eng d
020 _a9783319112770
024 7 _a10.1007/978-3-319-11277-0
_2doi
040 _bspa
_dES-MaUEC
050 4 _aQA279.4
_bP377 2015 EB
100 1 _aParracho Sant'Anna, Annibal.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/no97021581
245 1 0 _aProbabilistic Composition of Preferences, Theory and Applications
_cby Annibal Parracho Sant'Anna.
264 1 _aCham
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (VII, 141 páginas)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aDecision Engineering,
_x1619-5736
490 0 _aEngineering (Springer-11647)
505 0 _aMultiple Criteria Decision Analysis -- Approaches to Criteria Combination -- The Probabilistic Approach to Preferences Measurement -- Computation of Probabilities of Preference -- Composition by Joint Probabilities -- Composition by DEA Distance to the Frontier -- Dynamic Probabilistic Indices -- Probabilities in the Problem of Classification -- Capacities Determination -- Rough Sets Modeling -- Application to FMEA Priority Assessments -- Appendix.
520 3 _aPutting forward a unified presentation of the features and possible applications of probabilistic preferences composition, and serving as a methodology for decisions employing multiple criteria, this book maximizes reader insights into the evaluation in probabilistic terms and the development of composition approaches that do not depend on assigning weights to the criteria. With key applications in important areas of management such as failure modes, effects analysis and productivity analysis - together with explanations about the application of the concepts involved -this book makes available numerical examples of probabilistic transformation development and probabilistic composition. Useful not only as a reference source for researchers, but also in teaching classes of graduate courses in Production Engineering and Management Science, the key themes of the book will be of especial interest to researchers in the field of Operational Research.
988 _aEBSPRINGER_2018
650 7 _9152774
_aToma de decisiones (Estadística)
776 0 8 _iEdición impresa:
_z9783319112787
776 0 8 _iEdición impresa:
_z9783319112763
776 0 8 _iEdición impresa:
_z9783319381671
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-11277-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_eIG
_zSI