000			02902nam a22003375i 4500
999			_c238572 _d238572
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003			ES-VaUE
005			20240701190910.0
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007			cr nn 008mamaa
008			230621s2023 sz | o |||| 0|eng d
020			_a9783031284656
024	7		_a10.1007/978-3-031-28465-6 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aT57.6 _b2023 EB
245	0	0	_aMulticriteria Decision Aiding Interventions : _bApplications for Analysts _cedited by Maria Franca Norese, María A De Vicente y Oliva, Irène Abi-Zeid
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aMultiple Criteria Decision Making _x2366-0031
505	0		_aIntroduction -- What are the Results of an MCDA Intervention? Some Reflections -- Spatial decision support to reorganise the Swiss postal network -- A decision aiding methodology to compare patient classification systems -- A decision-aiding tool for the choice of road pavements and surfacing -- Multicriteria decision aiding for a shift towards best environmental practices in agriculture, with a focus on viticulture -- Multicriteria Decision Aiding - An overview of some challenges of interventions in real life applications -- Contrasting applications in environmental planning and public procurement -- Social Multi-Criteria Evaluation of Policy Options -- GIS based/MCDA platform for strategic planning and complexity management in conflictual socio-ecosystems.
520			_aThis book introduces readers to multicriteria decision aiding (MCDA) interventions used in complex situations. In each chapter, expert analysts propose a piece of the puzzle, while the final, complete puzzle offers an interesting reflection of the main challenges and difficulties associated with decision aiding interventions, as well as the different tools adopted in response. Particular attention is given to the approaches used to identify and overcome specific difficulties. Designed for analysts familiar with several multicriteria methods but seeking detailed information and experience, this book helps to elaborate and validate MC models in real-life decision aiding interventions. In addition, it helps novice analysts appreciate the difficulty of decision aiding and use the available methods to reduce or control them with the help of socio-technical approaches.
988			_aSpringer_Business_2023
650		7	_2embne _96736 _aAnálisis de sistemas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-28465-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_b07/2024 _db _ej _zSI