Multi-Criteria and Multi-Dimensional Analysis in Decisions Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) /
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| Summary: | XVI, 354 p. 120 illus. text |
| Language: | English |
| Published: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Edition: | 1st ed. 2023. |
| Series: | Vector Optimization,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-40538-9 |
| Format: | Electronic Book |
Table of Contents:
- Chapter 1 Introduction
- Chapter 2 Problems of multi-criteria and multidimensionality in decision support
- Part I: Methods of multidimensional comparative analysis
- Chapter 3 Initial data analysis procedure
- Chapter 4 Methods for building aggregate measures
- Part II: Multi-criteria decision support methods
- Chapter 5 Methods based on the outranking relationship
- Chapter 6 Methods based on the utility function
- Chapter 7 Multi-criteria methods using function points
- Chapter 8 Conclusions.