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Multi-Criteria and Multi-Dimensional Analysis in Decisions

Multi-Criteria and Multi-Dimensional Analysis in Decisions Using Vector Reference Methods to Support Decision Making - Vector Optimization

Hardback (01 Nov 2023)

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Publisher's Synopsis

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.


Book information

ISBN: 9783031405372
Publisher: Springer Nature Switzerland
Imprint: Springer
Pub date:
DEWEY: 658.4032
DEWEY edition: 23
Language: English
Number of pages: 354
Weight: 694g
Height: 235mm
Width: 155mm
Spine width: 22mm