Multi-Criteria and Multi-Dimensional Analysis in Decisions

Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) de

Éditeur :

Springer


Paru le : 2023-10-31

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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.

Pages
354 pages
Collection
n.c
Parution
2023-10-31
Marque
Springer
EAN papier
9783031405372
EAN PDF
9783031405389

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
13230 Ko
Prix
147,69 €
EAN EPUB
9783031405389

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
20490 Ko
Prix
147,69 €

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