Multi-Criteria Decision Making with Partial Preference Information
Recent Applications and Cases with the FITradeoff Method
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Beschreibung
This book explores Multi-Criteria Decision Making (MCDM) methods, focusing on decision-making with multiple objectives and partial preference information. It integrates theoretical contributions with practical applications in areas such as energy, health systems, security, sustainability, industrial contexts, supplier selection, and more. The book highlights the use of mathematical programming, particularly linear programming, for analyzing alternatives with incomplete information on criteria weights.
A key feature of the book is its exploration of Decision Support Systems (DSS), including their evolution through behavioral experiments and neuroscience tools. It also covers Group Decision and Negotiation (GDN) with partial information, focusing on preference modeling in group settings.
Targeted at both practitioners and researchers, this book offers innovative insights into MCDM with partial information, making it an essential resource for those looking to improve their decision models or expand their knowledge in the field.
This book explores Multi-Criteria Decision Making (MCDM) methods, focusing on decision-making with multiple objectives and partial preference information. It integrates theoretical contributions with practical applications in areas such as energy, health systems, security, sustainability, industrial contexts, supplier selection, and more. The book highlights the use of mathematical programming, particularly linear programming, for analyzing alternatives with incomplete information on criteria weights.
A key feature of the book is its exploration of Decision Support Systems (DSS), including their evolution through behavioral experiments and neuroscience tools. It also covers Group Decision and Negotiation (GDN) with partial information, focusing on preference modeling in group settings.
Targeted at both practitioners and researchers, this book offers innovative insights into MCDM with partial information, making it an essential resource for those looking to improve their decision models or expand their knowledge in the field.
Introduces an innovative approach to decision-making, focusing on methods with multiple objectives Presents recent and ongoing developments in MCDM with partial information Covers a range of applications across various areas
Autor*in
Adiel Teixeira de Almeida
Themen in »Multi-Criteria Decision Making with Partial Preference Information«
Multi-criteria Decision Aiding MCDA Multi-attribute Value Theory MAVT FITradeoff Method Individual Decision Making Group Decision Making Group Decision and Negotiation GDN MCDM Preference Modelling Additive Model Decision Support System DSS Multi-criteria Decision Analysis