Intelligent Decision Support Systems: Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Slowiński (Hardcover)

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 Slowinski 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.