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.
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Multi-Criteria and Multi-Dimensional Analysis in Decisions, Kesra Nermend
- Lingua
- Pubblicato
- 2023
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- (Copertina rigida)
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- Titolo
- Multi-Criteria and Multi-Dimensional Analysis in Decisions
- Sottotitolo
- Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM)
- Lingua
- Inglese
- Autori
- Kesra Nermend
- Editore
- Springer Nature Switzerland
- Pubblicato
- 2023
- Formato
- Copertina rigida
- Pagine
- 372
- ISBN13
- 9783031405372
- Serie
- Valutazione
- 3,75 su 5
- Descrizione
- 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.