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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The book introduces innovative quantitative methods for automating objective decision-making, focusing on multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA). It elaborates on various criteria types and presents the author's unique preference vector method (PVM) and vector measure construction method (VMCM) for addressing multi-criteria challenges. Each method is detailed with step-by-step explanations and practical examples, primarily applied within economics and management, making it a valuable resource for practitioners in these fields.
Nákup knihy
Multi-Criteria and Multi-Dimensional Analysis in Decisions, Kesra Nermend
- Jazyk
- Rok vydání
- 2023
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- Titul
- Multi-Criteria and Multi-Dimensional Analysis in Decisions
- Podtitul
- Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM)
- Jazyk
- anglicky
- Autoři
- Kesra Nermend
- Vydavatel
- Springer Nature Switzerland
- Rok vydání
- 2023
- Vazba
- pevná
- Počet stran
- 372
- ISBN13
- 9783031405372
- Série
- Hodnocení
- 3,75 z 5
- Anotace
- The book introduces innovative quantitative methods for automating objective decision-making, focusing on multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA). It elaborates on various criteria types and presents the author's unique preference vector method (PVM) and vector measure construction method (VMCM) for addressing multi-criteria challenges. Each method is detailed with step-by-step explanations and practical examples, primarily applied within economics and management, making it a valuable resource for practitioners in these fields.