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008 211019s2021 sz | o |||| 0|eng d
020 _a9783030823474
024 7 _a10.1007/978-3-030-82347-4
_2doi
040 _aES-VaU
_bspa
_cES-VaU
_dES-VaU
050 4 _aT57.6-.97
_b2021 EB
100 1 _aMunier, Nolberto.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 0 0 _aMathematical Modelling of Decision Problems :
_bUsing the SIMUS Method for Complex Scenarios
_cby Nolberto Munier
250 _a1st ed. 2021.
264 1 _aCham
_c2021
_bSpringer International Publishing
300 _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 _a1. MCDM Methods: Modelling, Feasibility, and Sensitivity Analysis -- 2. Linear Programming and the SIMUS Method -- 3. Analysis of Facts: Issues and Questions Answered in MCDM Practice -- 4. Analysis of Questions Normally Formulated on MCDM -- 5. Putting SIMUS to Work.
520 _aThis book is intended as a guide to and manual on modeling complex problems in Multi Criteria Decision Making (MCDM). It encourages practitioners to consider the practicalities of real-world scenarios when modeling, while at the same time providing tips and examples of how to incorporate these realities into the initial decision matrix. The goal is to help readers build a decision matrix that replicates reality as closely as possible. Once this matrix has been constructed, the Decision Maker (DM) can select from more than a hundred MCDM methods the one that best fits the requirements and conditions of the matrix. The book features cases taken from real-world scenarios, which deal with various fields, aspects, and characteristics, and are solved using the SIMUS (Sequential Interactive Modeling for Urban Systems) method. This book is a valuable tool for practitioners, researchers and students dealing with MCDM problems.
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-82347-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Business_2021
999 _c239201
_d239201