Search Results - attribution theory

Structural information theory the simplicity of visual form / by Leeuwenberg, E. L. J. (Emanuel Laurens Jan)

Table of Contents: “…Attributes of visual form; 3. Process and representation; 4. …”
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A legal theory for autonomous artificial agents by Chopra, Samir

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Multicriteria decision aid and artificial intelligence links, theory and applications / by Doumpos, Michael

Table 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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Exponential random graph models for social networks theories, methods, and applications /

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Organizational behavior I. by Miner, John B.

Table of Contents: “…Stacy Adams -- Goal setting theory : Edwin Locke and Gary Latham -- Attribution theory-managerial perceptions of the poor performing subordinate : Terence Mitchell and Stephen Green -- Normative decision process theory : Victor Vroom, Philip Yetton, and Arthur Jago -- Contingency theory of leadership : Fred Fiedler -- Vertical dyad linkage and leader member exchange theory : George Graen -- Information processing theory of leadership : Robert Lord -- Substitutes for leadership : Steven Kerr -- Role motivation theory : John Miner -- Charismatic leadership theory : Robert House -- Transformational leadership theory : Bernard Bass.…”
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Pseudo-Albertus Magnus, Quaestiones Alberti de modis significandi a critical edition, translation and commentary of the British Museum incunabulum C.21.C.52 and the Cambridge incun... by Kelly, L. G. (Louis G.)

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The aesthetics of wine by Burnham, Douglas

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The role of emotions in criminal law defences duress, necessity and lesser evils / by Spain, Eimear, 1981-

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Afterimage of empire photography in nineteenth-century India / by Chaudhary, Zahid R.

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Philosophical essays what it means and how we use it / by Soames, Scott

Table of Contents: “…Descriptions -- Incomplete definite descriptions -- Donnellan's referential/attributive distinction -- Why incomplete descriptions don't refute Russell's theory of descriptions -- Meaning and use : lessons for legal interpretation -- Interpreting legal texts : what is and what is not special about the law.…”
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The handbook of communication and corporate reputation

Table of Contents: “…Corporate Reputation and the Theory of Social Capital Vilma Luoma-aho SECTION 3: Attributes of Reputation 26. …”
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Language and social cognition expression of the social mind /

Table of Contents: “…Caucci -- Social cognitive functions of single structures -- Attribution theories wired into linguistic categories / Klaus Fieder and Peter Freytag -- Tuned to hidden messages : exploring recurrent word combinations in English / Rainer Schulze -- Emotion talk and emotional talk : cognitive and discursive perspectives / Monika Bednarek -- From motion to emotion to interpersonal function : the case of fear predicates / Eliza Kitis -- Metaphor in mental representations of space, time and society: the cognitive linguistics approach / Paul Chilton.…”
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The health care data guide learning from data for improvement / by Provost, Lloyd P.

Table of Contents: “…Other Tools for Learning from Variation.Frequency Plots.Pareto Charts.Scatter Plot.5 Understanding Variation Using Shewhart Charts.Selecting the Type of Shewhart Chart.Chart Selection Guide.Shewhart Charts for Continuous Data.I Charts.Examples of Shewhart Charts for Individual Measurements.Rational Ordering with an Individual Chart.Effect of the Distribution of the Measurements Example of Individual Chart for Deviations from a Target.X-Bar and S Chart.Shewhart Charts for Attribute Data.Subgroup Size For Attribute Charts.The P Chart for Classification Data.Examples of P Charts.Creation of Funnel Limits for P chart.C and U Charts for Counts of Nonconformities.C Charts.U Charts.Creation of Funnel Limits for a U chart.Process Capability.Process Capability from an I Chart.Capability of a Process from X-bar and S Chart (or R chart).Capability of a Process from Attribute Control Charts.Capability from a P Chart.Capability from a C or U Chart.Appendix 5.1: Calculating Shewhart Limits.Part II Advanced Theory and Methods with Data.6 Shewhart Chart Savvy: Dealing with Some Issues.Designing Effective Shewhart Charts.Typical Problems with Software for Calculating Shewhart Charts.Some Cautions when Using I Charts.7 More Shewhart-Type Charts.Other Shewhart-Type Charts.NP Chart.X-Bar and Range Chart.Median Chart.Shewhart Charts for Rare Events.G Chart for Opportunities Between Rare Events.T Chart for Time Between Rare Events.Some Alternatives to Shewhart-Type Charts.Moving Average Chart.Cumulative Sum (CUSUM) Chart.Exponentially Weighted Moving Average (EWMA) Chart.Standardized Shewhart Charts.Multivariate Shewhart-Type Charts.8 Special Uses for Shewhart Charts.Shewhart Charts with a Changing Center Line.Shewhart Charts with Sloping Center Line.Shewhart Charts with Seasonal Effects.Transformation of Data with Shewhart Charts.Shewhart Charts for Autocorrelated Data.Shewhart Charts for Attribute Data with Large Subgroup Sizes (Over-Dispersion).Prime Charts (P&' and U').Comparison Charts.Confidence Intervals and Confidence Limits.Shewhart Charts for Case-Mix Adjustment.9 Drilling Down into Aggregate Data for Improvement.What are Aggregate Data?…”
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Understanding aerodynamics arguing from the real physics / by McLean, Doug, 1943-

Table of Contents: “…Linearized lifting-surface theory 8.2.3 ... Lifting-line theory 8.2.4 ... 3D lift in ground effect 8.2.5 ... …”
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