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Multicriteria decision aid and artificial intelligence links, theory and applications /
Published 2013Table of Contents: “…Machine generated contents note: List of Contributors Preface Part One The Contributions of Intelligent Techniques in Multicriteria Decision Aiding 1 Computational Intelligence Techniques for Multicriteria Decision Aiding: An Overview 1.1 Introduction 1.2 The MCDA Paradigm 1.2.1 Modeling Process 1.2.2 Methodological Approaches 1.3 Computational Intelligence in MCDA 1.3.1 Statistical Learning and Data Mining 1.3.2 Fuzzy Modeling 1.3.3 Metaheuristics 1.4 Conclusions References 2 Intelligent Decision Support Systems 2.1 Introduction 2.2 Fundamentals of Human Decision Making 2.3 Decision Support System 2.4 Intelligent Decision Support Systems 2.4.1 Artificial Neural Networks for Intelligent Decision Support 2.4.2 Fuzzy Logic for Intelligent Decision Support 2.4.3 Expert Systems for Intelligent Decision Support 2.4.4 Evolutionary Computing for Intelligent Decision Support 2.4.5 Intelligent Agents for Intelligent Decision Support 2.5 Evaluating Intelligent Decision Support Systems 2.5.1 Determining Evaluation Criteria 2.5.2 Multi-Criteria Model for IDSS Assessment 2.6 Summary and Future Trends References Part Two Intelligent Technologies for Decision Support and Preference Modeling 3 Designing Distributed Multi-Criteria Decision Support Systems for Complex and Uncertain Situations 3.1 Introduction 3.2 Example Applications 3.3 Key Challenges 3.4 Making Trade-offs: Multi-criteria Decision Analysis 3.4.1 Multi-attribute Decision Support 3.4.2 Making Trade-offs Under Uncertainty 3.5 Exploring the Future: Scenario-based Reasoning 3.6 Making Robust Decisions: Combining MCDA and SBR 3.6.1 Decisions Under Uncertainty: The Concept of Robustness 3.6.2 Combining Scenarios and MCDA 3.6.3 Collecting, Sharing and Processing Information: A Distributed Approach 3.6.4 Keeping Track of Future Developments: Constructing Comparable Scenarios 3.6.5 Respecting Constraints and Requirements: Scenario Management 3.6.6 Assisting Evaluation: Assessing Large Numbers of Scenarios 3.7 Discussion 3.8 Conclusion References 4 Preference Representation with Ontologies 4.1 Introduction 4.1.1 Structure of the Chapter 4.2 Ontology-based Preference Models 4.3 Maintaining the User's Profile up to Date 4.4 Decision Making Methods Exploiting the Preference Information Stored in Ontologies 4.4.1 Recommendation Based on Aggregation 4.4.2 Recommendation Based on Similarities 4.4.3 Recommendation Based on Rules 4.5 Discussion and Open Questions References Part Three Decision Models 5 Neural Networks in Multicriteria Decision Support 5.1 Introduction 5.2 Basic Concepts of Neural Networks 5.2.1 Neural Networks for Intelligent Decision Support 5.3 Basics in Multicriteria Decision Aid 5.3.1 MCDM Problems 5.3.2 Solutions of MCDM Problems 5.4 Neural Networks and Multicriteria Decision Support 5.4.1 Review of Neural Network Applications to MCDM Problems 5.4.2 Discussion 5.5 Summary and Conclusions References 6 Rule-Based Approach to Multicriteria Ranking 6.1 Introduction 6.2 Problem Setting 6.3 Pairwise Comparison Table (PCT) 6.4 Rough Approximation of Outranking and Non-outranking Relations 6.5 Induction and Application of Decision Rules 6.6 Exploitation of Preference Graphs 6.7 Illustrative Example 6.8 Summary and Conclusions References 7 About the Application of Evidence Theory in MultiCriteria Decision Aid 7.1 Introduction 7.2 Evidence Theory: Some Concepts 7.2.1 Knowledge Model 7.2.2 Combination 7.2.3 Decision Making 7.3 New Concepts in Evidence Theory for MCDA 7.3.1 First Belief Dominance 7.3.2 RBBD Concept 7.4 Multicriteria Methods modeled by Evidence Theory 7.4.1 Evidential Reasoning Approach 7.4.2 DS/AHP 7.4.3 DISSET 7.4.4 A Choice Model Inspired by ELECTRE I 7.4.5 A Ranking Model Inspired by Xu et al.'…”
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Understanding aerodynamics arguing from the real physics /
Published 2013An electronic book accessible through the World Wide Web; click to view
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Proceedings of the 13th International Congress on Mathematical Education ICME-13 /
Published 2017Table of Contents: “…Buffet -- Topic study group no. 18 Reasoning and proof in mathematics education, Guershon Harel, Andreas Stylianides -- Topic study group no. 19 Problem solving in mathematics education, Peter Liljedahl, Manuel Santos Trigo -- Topic study group no. 20 Visualization in the teaching and learning of mathematics, Michal Yerushalmy, Ferdinand Rivera -- Topic study group no. 21 Mathematical applications and modelling in the teaching and learning of mathematics, Jussara Araújo, Gloria Ann Stillman -- Topic study group no. 22 Interdisciplinary mathematics education, Susie Groves, Julian Williams -- Topic study group no. 23 Mathematical literacy, Hamsa Venkat, Iddo Gal -- Topic study group no. 24 History of the teaching and learning mathematics, Fulvia Furinghetti, Alexander Karp -- Topic study group no. 25 The role of history of mathematics in mathematics education, Constantinos Tzanakis, Xiaoqin Wang -- Topic study group no. 26 Research on Teaching and Classroom Practice, Yoshinori Shimizu, Mary Kay Stein -- Topic study group no. 27 Learning and cognition in mathematics, Gaye Williams, Wim Van Dooren -- Topic study group no. 28 Affect, beliefs and identity in mathematics education, Markku Hannula, Francesca Morselli -- Topic study group no. 29 Mathematics and creativity, Demetra Pitta-Pantazi, Dace Kūma -- Topic study group no. 30 Mathematical competitions, Maria Falk de Losada, Alexander Soifer -- Topic study group no. 31 Language and Communication in Mathematics education, Judit Moschkovich, David Wagner -- Topic study group no. 32 Mathematics education in a multilingual and multicultural environment, Richard Barwell, Anjum Halai -- Topic study group no. 33 Equity in Mathematics Education (including Gender), Joanne Rossi Becker, Bill Atweh -- Topic study group no. 34 Social and political dimensions of mathematics education, Murad Jurdak, Renuka Vithal -- Topic study group no.35 Role of ethnomathematics in mathematics education, Milton Rosa, Lawrence Shirley -- Topic study group no.36 Task design, analysis and learning environments programme summary, Jiansheng Bao, Jere Confrey -- Topic study group no. 37 Mathematics curriculum development, Anita Rampal, Zalman Usiskin. …”
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CONTEMPORARY THOUGHT ON NINETEENTH CENTURY CONSERVATISM 1850-1874.
Published 2020Taylor & Francis
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Christianity a very short introduction /
Published 2004An electronic book accessible through the World Wide Web; click to view
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Contemporary thought on nineteenth century conservatism.
Published 2021Taylor & Francis
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Contemporary thought on Nineteenth Century Conservatism.
Published 2021Taylor & Francis
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A study of gender imbalance in public relation training at Daystar University
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Kids and Credibility : An Empirical Examination of Youth, Digital Media Use, and Information Credibility /
Published 2010Full text available:
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Heresy in the Roman Catholic Church a history /
Published 2011An electronic book accessible through the World Wide Web; click to view
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Christian fundamentalism in America a cultural history /
Published 2012An electronic book accessible through the World Wide Web; click to view
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Character and the supernatural in Shakespeare and Achebe /
Published 2021Taylor & Francis
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Religiosity and Individual-Level Corruption: Experimental Evidence from Kenya
Published 2021“…Using a three-person one-shot sequential move corruption game, this paper finds that people internalize their religious beliefs to affect outcomes including acting corruptly. …”
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