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Intelligent decision support systems = combining operations research and artificial intelligence - essays in honor of Roman Slowinski /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent decision support systems/ edited by Salvatore Greco ... [et al.].
其他題名:	combining operations research and artificial intelligence - essays in honor of Roman Slowinski /
其他作者:	Greco, Salvatore.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xviii, 440 p. :ill. (some col.), digital ;24 cm.
內容註:	Roman Slowiński 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 Slowiński 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.
Contained By:	Springer Nature eBook
標題:	Decision support systems. -
電子資源:	https://doi.org/10.1007/978-3-030-96318-7
ISBN:	9783030963187

Intelligent decision support systems = combining operations research and artificial intelligence - essays in honor of Roman Slowinski /
Intelligent decision support systemscombining operations research and artificial intelligence - essays in honor of Roman Slowinski /[electronic resource] :edited by Salvatore Greco ... [et al.]. - Cham :Springer International Publishing :2022. - xviii, 440 p. :ill. (some col.), digital ;24 cm. - Multiple criteria decision making,2366-0031. - Multiple criteria decision making..

Roman Slowiński 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 Slowiński 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.

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.

ISBN: 9783030963187

Standard No.: 10.1007/978-3-030-96318-7doiSubjects--Topical Terms:

545674
Decision support systems.

LC Class. No.: HD30.213

Dewey Class. No.: 658.403

Intelligent decision support systems = combining operations research and artificial intelligence - essays in honor of Roman Slowinski /
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520 $a 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.
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