Multi-Criteria And Multi-Dimensional Analysis In Decisions eBook
Decision Making With Preference Vector Methods (Pvm) And Vector Measure Construction Methods (Vmcm)
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.
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9783031405389 |
| Publisher: | Springer Nature Switzerland |
| Release Date: | October of 2023 |
| Language: | English |
| Format: | eBook |
| File Format and Compatibility: | |
| Collection: | Vector Optimization |
| Categories: |
eBooks in English
>
Economics, Finance and Accounting
>
Economy
|
| EAN: | 9783031405389 |
| Acessibilidade: | Ver características de acessibilidade indicadas pelo editor |
BOOKS FROM THE SAME COLLECTION
-
eBook10%Order Analysis, Deep Learning, And Connections To OptimizationSpringer Nature Switzerland130,58€
145,09€ -
eBook10%Scalarization And Separation By Translation Invariant FunctionsSpringer International Publishing118,59€ 10% CARD
-
Multi-Criteria And Multi-Dimensional Analysis In DecisionsSpringer International Publishing AG158,16€free shipping