Multi-Criteria and Multi-Dimensional Analysis in Decisions
Author | : Kesra Nermend |
Publisher | : Springer Nature |
Total Pages | : 366 |
Release | : 2023-12-02 |
ISBN-10 | : 9783031405389 |
ISBN-13 | : 3031405382 |
Rating | : 4/5 (382 Downloads) |
Download or read book Multi-Criteria and Multi-Dimensional Analysis in Decisions written by Kesra Nermend and published by Springer Nature. This book was released on 2023-12-02 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.