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008			231031s2023 sz | s |||| 0|eng d
020			_a9783031405389
024	7		_a10.1007/978-3-031-40538-9 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050	0	4	_aT57.97 _b2023 EB
100	1		_aNermend, Kesra. _eautor _0(orcid)0000-0002-4309-7434 _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aMulti-Criteria and Multi-Dimensional Analysis in Decisions: _bDecision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) _cby Kesra Nermend
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		_aVector Optimization, _x1867-898X
505	0		_aChapter 1 Introduction -- Chapter 2 Problems of multi-criteria and multidimensionality in decision support -- Part I: Methods of multidimensional comparative analysis -- Chapter 3 Initial data analysis procedure -- Chapter 4 Methods for building aggregate measures -- Part II: Multi-criteria decision support methods -- Chapter 5 Methods based on the outranking relationship -- Chapter 6 Methods based on the utility function -- Chapter 7 Multi-criteria methods using function points -- Chapter 8 Conclusions.
520			_aA new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author's own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.
988			_aSpringer_Business_2023
650		0	_9512457 _aResearch.
650		0	_9512849 _aEconomics, Mathematical.
650		0	_9512808 _aMethodologie.
830		0	_aVector Optimization, _x1867-898X
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-40538-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_db _ee