portada Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (Pvm) and Vector Measure Construction Metho (en Inglés)

Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (Pvm) and Vector Measure Construction Metho (en Inglés)

Formato

Libro Físico

Autor

Kesra Nermend

Editorial

Springer

Idioma

Inglés

N° páginas

354

Encuadernación

Tapa Dura

Dimensiones

23.4x15.6x2.2 cm

Peso

0.69 kg.

ISBN13

9783031405372

Categorías

Teoría y filosofía económicas
Econometría
Investigación operativa

Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (Pvm) and Vector Measure Construction Metho (en Inglés)

Kesra Nermend (Autor) · Springer · Tapa Dura

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Reseña del libro "Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (Pvm) and Vector Measure Construction Metho (en Inglés)"

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.