Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) (Vector Optimization)
This scholarly volume explores multi-criteria and multi-dimensional decision analysis through Preference Vector Methods and Vector Measure Construction Methods. Framed within vector optimization, it offers a focused examination of mathematical approaches for studying decisions shaped by multiple criteria, dimensions, and preferences.
About This Book
This book examines multi-criteria and multi-dimensional analysis in decision making.
It presents preference vector methods (PVM) and vector measure construction methods (VMCM) as approaches to decision analysis.
Positioned within vector optimization, the work is suited to readers seeking a mathematical and methodological perspective on structured decisions involving multiple criteria and dimensions.
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