Normalization of Multidimensional Data for Multi-Criteria Decision Making Problems Inversion, Displacement, Asymmetry /
This book presents a systematic review of multidimensional normalization methods and addresses problems frequently encountered when using various methods and ways to eliminate them. The invariant properties of the linear normalization methods presented here can be used to eliminate simple problems a...
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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edition: | 1st ed. 2023. |
| Series: | International Series in Operations Research & Management Science,
348 |
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| Online Access: | https://doi.org/10.1007/978-3-031-33837-3 |
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Table of Contents:
- Introduction
- The MCDM Rank Model
- Normalization and rank model MCDM
- Linear Methods for Multivariate Normalization
- Inversion of normalized values. ReS-algorithm
- Rank Reversal in MCDM Models. Contribution of the normalization
- Coordination of scales of normalized values. IZ-method MS-transformation of Z-Score
- Nonlinear multivariate normalization methods
- Normalization for the case “Nominal value the best”
- Comparative results of ranking of alternatives using different normalization methods. Computational experiment
- 12 Significant difference of the performance indicator of alternatives
- Conclusion.