Intelligent Decision Support Systems

图书简介

This book presents a collection of essays written by leading researchers to honor Roman Slowinski’s major scholarly interests and contributions. He is well-known for conducting extensive research on methodologies and techniques for intelligent decision support, where he combines operational research and artificial intelligence. The book reconstructs his main contributions, presents cutting-edge research and provides an outlook on the most promising and advanced domains of computer science and multiple criteria decision aiding. The respective chapters cover a wide range of related research areas, including decision sciences, ordinal data mining, preference learning and multiple criteria decision aiding, modeling of uncertainty and imprecision in decision problems, rough set theory, fuzzy set theory, multi-objective optimization, project scheduling and decision support applications. As such, the book will appeal to researchers and scholars in related fields.

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.

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Intelligent Decision Support Systems（Multiple Criteria Decision Making） 智能决策支持系统：把运筹学与人工智能相结合——罗曼·斯沃温斯基纪念论文集 人工智能

Intelligent Decision Support Systems（Multiple Criteria Decision Making）

智能决策支持系统：把运筹学与人工智能相结合——罗曼·斯沃温斯基纪念论文集
人工智能