Intelligent Systems for Information Processing: From Representation to Applications (eBook)

B. Bouchon-Meunier, L. Foulloy, Ronald R. Yager (Autoren)

eBook Download: PDF

2003 | 1. Auflage
488 Seiten
Elsevier Science (Verlag)
978-0-08-052565-5 (ISBN)

Infos

Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.

One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.

Key Features:

&bull, Tools for construction of intelligent systems
&bull, Contributions by world leading experts
&bull, Fundamental issues and applications
&bull, New technologies for web searching
&bull, Methods for modeling uncertain information
&bull, Future directions in web technologies
&bull, Transversal to methods and domains

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Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:* Tools for construction of intelligent systems * Contributions by world leading experts * Fundamental issues and applications * New technologies for web searching * Methods for modeling uncertain information * Future directions in web technologies * Transversal to methods and domains

Inhalt

Cover 
1 
Contents 8
Preface 6
Part 1: Perception-based Information Processing 12
Chapter 1. Toward a Perception-Based Theory of Probabilistic Reasoning with Imprecise Probabilities 14
Part 2: Representing Knowledge 46
Chapter 2. Rough Set Uncertainty in an Object Oriented Data Model 48
Chapter 3. On the Representation of Fuzzy Spatial Relations in Robot Maps 58
Chapter 4. Fuzzy "Between" Operators in the Framework of Fuzzy Orderings 70
Chapter 5. A Step towards Conceptually Improving Takagi-Sugeno's Approximation 82
Chapter 6. Combining Heterogeneous Information in Group Decision Making 92
Chapter 7. Function Approximation by Fuzzy Rough Sets 104
Part 3: Retrieving Information 116
Chapter 8. Query Aggregation Reflecting Domain-knowledge 118
Chapter 9. Modelling of Fuzzy and Uncertain Spatio-Temporal Information in Databases: A Constraint-based Approach 128
Chapter 10. A General Framework for Meta-search based on Query-weighting and Numerical Aggregation Operators 140
Chapter 11. On the Comparison of Aggregates over Fuzzy Sets 152
Chapter 12. Towards an Intelligent Text Categorization for Web Resources: An Implementation 164
Part 4: Reasoning 176
Chapter 13. Prototype Based Reasoning and Fuzzy Modeling 178
Chapter 14. Gradual Handling of Contradiction in Argumentation Frameworks 190
Chapter 15. Coherent Conditional Probability as a Tool for Default Reasoning 202
Chapter 16. Detecting Conflict-Free Assumption-Based Knowledge Bases 214
Part 5: Uncertainty 222
Chapter 17. Theory of Belief Functions: History and Prospects 224
Chapter 18. Towards Another Logical Interpretation of Theory of Evidence and a New Combination Rule 234
Chapter 19. Uncertainty, Type-2 Fuzzy Sets, and Footprints of Uncertainty 244
Chapter 20. Rough Sets, Bayes' Theorem and Flow Graphs 254
Chapter 21. Belief Revision as Combinatorial Optimization 264
Chapter 22. Showing why Measures of Quantified Beliefs are Belief Functions 276
Chapter 23. Extension of Coherent Lower Previsions to Unbounded Random Variables 288
Part 6: Learning and Mining 300
Chapter 24. Clustering of Proximity Data using Belief Functions 302
Chapter 25. A Hierarchical Linguistic Clustering Algorithm for Prototype Induction 314
Chapter 26. A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems 326
Chapter 27. Mining Implication-Based Fuzzy Association Rules in Databases 338
Chapter 28. Learning Graphical Models by Extending Optimal Spanning Trees 350
Chapter 29. Clustering Belief Functions Based on Attracting and Conflicting Metalevel Evidence 302
Part 7: Foundations 372
Chapter 30. Models and Submodels of Fuzzy Theories 374
Chapter 31. Numerical Representations of Fuzzy Relational Systems 386
Chapter 32. Normal Forms for Fuzzy Relations and Their Contribution to Universal Approximation 392
Chapter 33. Associative Operators Based on t-Norms and t-Conorms 404
Part 8: Applications 416
Chapter 34. Non-Analytical Approaches to Model-Based Fault Detection and Isolation 418
Chapter 35. A Hybrid Fuzzy-Fractal Approach for Time Series Analysis and Prediction and its Applications to Plant Monitoring 430
Chapter 36. Linguistic Modeling of Physical Task Characteristics 442
Chapter 37. Validation of Diagnostic Models Using Graphical Belief Networks 454
Chapter 38. Adjustment of Parallel Queuing Processes by Multi-Agent Control 464
Chapter 39. Is she gonna like it? Automated Inspection System Using Fuzzy Aggregation 476
Author Index 488

Produkt-Details

• Erscheint lt. Verlag: 7.11.2003
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Informatik ► Weitere Themen ► Hardware
• Themenwelt: Mathematik / Informatik ► Mathematik ► Algebra
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Technik
• ISBN-10: 0-08-052565-2 / 0080525652
• ISBN-13: 978-0-08-052565-5 / 9780080525655