Integrated Uncertainty in Knowledge Modelling and Decision Making
International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011, Proceedings
Published on 13. October 2011
XII, 272 pages
978-3-642-24918-1 (ISBN)
Description
This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
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Yongchuan Tang | Van-Nam Huynh | Jonathan Lawry
Integrated Uncertainty in Knowledge Modelling and Decision Making
International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011, Proceedings
Book
10/2011
Springer
€53.49
Shipment within 5-7 days
Content
- Title
- Preface
- Organization
- Table of Contents
- Keynote and Invited Talks
- Talking with Uncertainty
- Living with Uncertainty
- Building Conversational Artifacts
- Conversational Decision Making
- Towards Empathic Agents for Living with Uncertainty
- References
- Introduction to the ER Rule for Evidence Combination
- Basic Concepts of Evidence Theory
- The Main Steps of the ER Approach for MCDM
- Introduction to the ER Rule for Evidence Combination
- Illustration of the ER Rule
- Conclusion
- References
- Theories and Approaches to Treat Incomparability
- Knowledge Science - Modeling the Knowledge Creation Process
- References
- Two Classes of Algorithms for Data Clustering
- Introduction
- Agglomerative Hierarchical Clustering
- K-means Clustering
- Fuzzy c-means and Variations
- Deciding the Number of Clusters
- Kernel Functions in Clustering
- Kernel Functions in Fuzzy c-means
- Kernel Functions in Agglomerative Hierarchical Clustering
- Semi-supervised Clustering
- Conclusions
- References
- Fusing Conceptual Graphs and Fuzzy Logic: Towards the Structure and Expressiveness of Natural Language
- References
- Contributed Papers
- A MMORPG Decision-Making Model Based on Persuasive Reciprocity
- Introduction
- Massively Multiplayer Online Role-Playing Game (MMORPG)
- The Theory of Persuasion
- Reciprocity
- Decision-Making Systems
- Information Systems
- Conditions for Decision-Making
- A Decision-Making Model Based on the Principle of Reciprocity from the Theory of Persuasion
- Circumstances for Reciprocity in MMORPGs
- Game Theory
- Conclusion
- References
- A Computing with Words Based Approach to Multicriteria Energy Planning
- Introduction
- The Linguistic Assessment-Based Framework
- Selecting Energy Alternatives and Evaluation Criteria
- Selecting Linguistic Label Set and Their Semantics
- Gathering Data and Developing Computational Models for Energy Planning
- Single Criterion Linguistic Energy Planning Involving Underlying Semantic Overlapping
- Deriving Underlying Semantic Overlapping from Fuzzy Membership Functions
- Group Opinions Aggregation
- Satisfactory-Oriented Choice Function
- Multicriteria Linguistic Energy Planning
- An Illustrative Example
- Problem Descriptions: Alternative-Fuel Buses Selection
- Solution Based on Our Model
- Concluding Remarks
- References
- Bipolar Semantic Cells: An Interval Model for Linguistic Labels
- Introduction
- Bipolar Semantic Cells
- Lower and Upper Neighborhood Functions of Linguistic Expressions
- Conclusions
- References
- A Fuzzy Rule-Based Classification System Using Interval Type-2 Fuzzy Sets
- Introduction
- Type-2 Fuzzy Sets and Fuzzy Classification Rules
- Design of Type-2 Fuzzy Rule-Based Classification System
- Generation of Interval Type-2 Fuzzy Rules from Data
- A Fuzzy Reasoning Method
- Numerical Examples
- Conclusions
- References
- Rough Approximations in General Approximation Spaces
- Introduction
- Preliminaries
- A General Notion of Rough Approximation Mapping
- Axioms for Rough Approximation Mappings
- The Structure of Rough Approximation Mappings
- The Transitive and Euclidean Uncertainty Mapping
- The Transitive Uncertainty Mapping
- The Euclidean Uncertainty Mapping
- References
- Multi-agents and Non-classical Logic Systems
- Introduction
- Preliminaries
- Multi-agents Valuation of Simple Statements
- Degree of Truth Value of Complex Statements
- Conclusion
- References
- An Information Processing Model for Emotional Agents Based on the OCC Model and the Mood Congruent Effect
- Introduction
- The Structure of Emotional Agents
- OCC Model
- Mood Congruent Effect
- Information Processing Model
- Descriptions of Emotion
- Common Information Processing
- Key Information Processing
- Cognitive Module
- The Structure of Cognitive Module
- Main Processor Sub-module
- Conclusion
- References
- On Distributive Equations of Implications and Contrapositive Symmetry Equations of Implications Based on a Continuous t-Norm
- Introduction
- Preliminaries
- Solutions to Eq.(4) When T1 Is a Continuous t-Norm and T2 Is a Continuous Archimedean t-Norm
- Solutions to the Functional Equations Consisting of Eq.(3) and Eq.(4) When T1 Is a Continuous t-Norm and T2 Is a Strict t-Norm
- Solutions to the Functional Equations Consisting of Eq.(3) and Eq.(4) When T1 Is a Continuous t-Norm and T2 Is a Nilpotent t-Norm
- Conclusion
- References
- A Novel Cultural Algorithm Based on Differential Evolution for Hybrid Flow Shop Scheduling Problems with Fuzzy Processing Time
- Introduction
- Hybrid Flow Shop Scheduling Problems with Fuzzy Processing Time
- Problem Description
- Operations on Fuzzy Processing Time
- The Proposed Cultural Algorithm Based on Differential Evolution
- Cultural Algorithm Differential Evolution (CADE)
- Implementation of CADE for FHFSSP
- Experimental Results
- Parameter Setting
- Comparative Study
- Conclusion
- References
- An Over-Relaxed (A, ?,m)-Proximal Point Algorithm for System of Nonlinear Fuzzy-Set Valued Operator Equation Frameworks and Fixed Point Problems
- Introduction
- Preliminaries
- Proximal Point Algorithm and Graph-Convergence
- Conclusions
- References
- Reliability-Based Route Optimization of a Transportation Network with Random Arc Capacities and Time Threshold
- Introduction
- Problem Description
- Capacitated Stochastic Colored Petri Net
- Petri Net
- SCPN
- CSCPN for Transportation Network
- Simulation for Reliability-Based Route Optimization
- Experimental Results
- Conclusions
- References
- Modeling Multilocation Transshipment with Application of Stochastic Programming Approach
- Introduction
- The Model
- The Solution Algorithm
- Numerical Example
- Conclusions and Future Directions
- References
- Identifying a Non-normal Evolving Stochastic Process Based upon the Genetic Methods
- Introduction
- Some Statistical Properties of a Mixture Distribution Family
- Statistical Properties
- Some Simulation Results
- Genetic Methods
- GA-Based Parameter Optimization
- Genetic Programming
- Numerical Experiments
- Concluding Remarks
- References
- Clustering Based Bagging Algorithm on Imbalanced Data Sets
- Introduction
- Clustering Based Bagging Algorithm (CBBA)
- Performance Metrics
- Experiments
- Data Sets Description
- Experimental Settings
- Experimental Results and Analyses
- Conclusions
- References
- Agglomerative Hierarchical Clustering Using Asymmetric Similarity Based on a Bag Model and Application to Information on the Web
- Introduction
- Preliminary Considerations
- Agglomerative Hierarchical Clustering
- A Bag Model
- Clustering Using an Asymmetric Similarity Measure
- Asymmetric Dendrogram
- Illustrative Examples
- Conclusions
- References
- Applying Agglomerative Fuzzy K-Means to Reduce the Cost of Telephone Marketing
- Introduction
- Review of Literature
- Internet Behavior
- Fuzzy Clustering
- Agglomeration Fuzzy K-Means and Fuzzy K-Means
- Progress of Clustering
- Attributes Captured from Market Research Data
- Determination of Center Point of the Cluster
- Agglomerative Fuzzy K-Means
- Merging of Clusters
- Clustering Result
- System Verification
- Analysis of Clustering Result
- Descriptive Statistics Analysis
- Experiment Verification
- Conclusion
- References
- Kansei Information Transfer Technology
- Introduction
- System Overview
- Data Manager
- Model Manager
- Reasoning Manager
- Mathematical Description
- Conclusion
- References
- Combining Binary Classifiers with Imprecise Probabilities
- Introduction
- Imprecise Probabilities: A Short Introduction
- Classifier Combination Using Imprecise Probabilities
- The Precise Case
- The Imprecise Case
- Handling Inconsistent Outputs: A Discounting Strategy
- Decision Making and Classifier Accuracy
- Experiments
- Dataset Description
- Classification Strategies
- Conclusions
- References
- Applying Hierarchical Information with Learning Approach for Activity Recognition
- Introduction
- Applying Ontology for Activity Recognition
- Proposed Hierarchical Classification Approach
- Hierarchical Classification
- Problem of Infrequent Categories
- Experiments
- Datasets and Methods
- Results
- Discussion
- Conclusion
- References
- Querying in Spaces of Music Information
- Introduction
- The Subject
- Grammars and Languages
- Syntax, Semantics, Understanding
- Syntax
- Grammar, Derivations
- The Lexicon
- Semantics, Understanding
- Querying
- Selecting
- Searching
- Transposing
- Converting
- Conclusions
- References
- Automatic Music Transcription: An Experiment with Simple Tools
- Introduction
- Chords
- Sound Modelling
- Filtering and Windowing
- Recognizing Chords
- Sequences of Chords
- Splitting
- Notes' Duration
- Results
- Data and Methodology
- Analysis and Discussion
- Conclusions
- References
- Author Index
