Kesra Nermend
Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) - Vector Optimization Kesra Nermend

Name: Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) - Vector Optimization
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Author: Kesra Nermend

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Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) - Vector Optimization

Kesra Nermend

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.

Medios de comunicación	Libros Paperback Book (Libro con tapa blanda y lomo encolado)
Publicado	2 de noviembre de 2024
ISBN13	9783031405402
Editores	Springer International Publishing AG
Páginas	354
Dimensiones	150 × 220 × 10 mm · 563 g
Lengua	Alemán