Full Description
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.
Contents
General concepts on MCDM/A.- Preference modelling in MCDM.- Additive model for aggregation in the context of MAVT.- Basic Structure for Using Partial Preference Information in MCDM/A.- Methods Using Surrogate Weights.- Partial Preference Information Methods Exploring the Space of Weights.- Methods with non-compensatory preferences.- Decision Process with FITradeoff Method.- Theoretical foundation for FITradeoff Method.- FITradeoff for Choice Problematic.- FITradeoff for Ranking Problematic.- FITradeoff for Sorting Problematic.- FITradeoff for Portfolio Problematic.- DSS of the FITradeoff Method.- Applications Using FITradeoff Method.- Cases Using FITradeoff Method.- A Procedure for Replicating any problem solved with complete preference information.- Assessing the Readiness of Technology for Generating Energy.- FITradeoff for Group Decision.- FITradeoff Group Decision Support System.- Applications with FITradeoff for Group Decision.- FITradeoff for Negotiation.- FITradeoff Web-Based Platform for Negotiation.- Applications with FITradeoff for Negotiation.- Improving Methods with Behavioral and Decision Neuroscience.- Decision Neuroscience Studies for Preference Modeling.- Success-Based Decision Rule for Holistic Evaluation.- Inconsistency studies in the FITradeoff Method.
