Multi-Criteria and Multi-Dimensional Analysis in Decisions - Using Vector Reference Methods to Support Decision Making (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Vector Optimization
Release date:	October 2023
First published:	2023
Authors:	Kesra Nermend
Dimensions:	235 x 155mm (L x W)
Edition:	1st ed. 2023
ISBN-13:	978-3-03-140537-2
Subtitles:	Polish
Categories:	Books
LSN:	3-03-140537-4
Barcode:	9783031405372

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