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Multi-Criteria and Multi-Dimensional Analysis in Decisions
Decision Making with Preference Vector Methods (Pvm) and Vector Measure Construction Methods (VMCM)
Kesra Nermend
147,95 €
+ 295 points
Format
Description
A 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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 354
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783031405402
- Date de parution :
- 02-11-24
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 155 mm x 235 mm
- Poids :
- 564 g
