Intelligent Decision Support Systems

<p>Roman Słowiński and His Research Program: Intelligent Decision Support Systems Between Operations Research and Artificial Intelligence.- Roman’s Scientific Trajectory: A Retrospective with an Emphasis on the Beginning.- ELECTRE Methods: A Survey on Roman Słowiński Contributions.- How Can Decision Sciences and MCDM Help Solve Challenging World Problems?.- Preference Disaggregation Analysis: An Overview of Methodological Advances and Applications.- Modeling and Learning of Hierarchical Decision Models: The Case of the Choquet Integral.- Preference Learning Applied to Credit Rating: Applications and Perspectives.- USort-nB and USort-nC: Two Multi-criteria Ordinal Classification Methods Using Interval Value Functions.- Constructing an Outranking Relation from Semantic Criteria and Ordinal Criteria for the ELECTRE Method.- Robust Ordinal Regression for Multiple Criteria Decision Aiding.- What Is Legitimate Decision Support?.- MR-Sort with Partial Information to Decide Whether to Invest in Innovation Projects.- Meta-Rankings of Journals Publishing Multiple Criteria Decision Aiding Research: Benefit-of-Doubt Composite Indicators for Heterogeneous Qualitative Scales.- Interactive Multicriteria Methodology Based on a Synergy of PROMETHEE II and Robust Simos Methods: Application to the Evaluation of E-government in Europe.- The Use of Decision Maker’s Preferences in Multiobjective Metaheuristics.- Decomposition and Coordination for Many-Objective Optimization.- Fuzzy Linear Programming with General Necessity Measures.- Dominance-Based Rough Set Approach: Basic Ideas and Main Trends.- Rule Set Complexity for Mining Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.- Rule Confirmation Measures: Properties, Visual Analysis and Applications.- An Approach to Combining Adherence-to-Therapy and Patient Preference Models for Evaluation of Therapies in Patient-Centered Care.</p>