Reusch Computational Intelligence, Theory and Applications

International Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18-20, 2006 Proceedings
2006
ISBN: 978-3-540-34783-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 38, 802 Seiten, eBook

Reihe: Advances in Intelligent and Soft Computing

This book constitutes the refereed proceedings of the 9th Dortmund Fuzzy Days, Dortmund, Germany, 2006. This conference has established itself as an international forum for the discussion of new results in the field of Computational Intelligence. The papers presented here, all thoroughly reviewed, are devoted to foundational and practical issues in fuzzy systems, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Reusch, Bernd

Inhaltsverzeichnis

Plenary Talk.- From Search Engines to Question-Answering Systems: The Problems of World Knowledge, Relevance, Deduction, and Precisiation.- Invited Session: Fuzzy Multiperson and Multicriteria Decisions Modelling.- A Fuzzy Approach to Optimal R&D Project Portfolio Selection.- Choquet Integration and Correlation Matrices in Fuzzy Inference Systems.- Linguistic Summarization of Some Static and Dynamic Features of Consensus Reaching.- Consistency for Nonadditive Measures: Analytical and Algebraic Methods.- Neural Nets.- Neuro-Fuzzy Kolmogorov's Network with a Modified Perceptron Learning Rule for Classification Problems.- A Self-Tuning Controller for Teleoperation System using Evolutionary Learning Algorithms in Neural Networks.- A Neural-Based Method for Choosing Embedding Dimension in Chaotic Time Series Analysis.- On Classification of Some Hopfield-Type Learning Rules via Stability Measures.- Applications I.- A New Genetic Based Algorithm for Channel Assignment Problems.- Max-Product Fuzzy Relational Equations as Inference Engine for Prediction of Textile Yarn Properties.- Automatic Defects Classification and Feature Extraction Optimization.- Short-Term Load Forecasting in Power System Using Least Squares Support Vector Machine.- Plenary Talk.- Fifteen Years of Fuzzy Logic in Dortmund.- Invited Session: Intuitionistic Fuzzy Sets and Generalized Nets I.- Intuitionistic Fuzzy Graphs.- On Some Intuitionistic Properties of Intuitionistic Fuzzy Implications and Negations.- On Intuitionistic Fuzzy Negations.- Invited Session: Soft Computing Techniques for Reputation and Trust I.- A Simulation Model for Trust and Reputation System Evaluation in a P2P Network.- A Fuzzy Trust Model Proposal to Ensure the Identity of a User in Time.- Quantification of the Effectiveness of the Markov Model for Trustworthiness Prediction.- Applications II.- Fuzzy-Genetic Methodology for Web-based Computed-Aided Diagnosis in Medical Applications.- Weight Optimization for Loan Risk Estimation with Genetic Algorithm.- A Fuzzy Feature Extractor Neural Network and its Application in License Plate Recognition.- Invited Session: Intuitionistic Fuzzy Sets and Generalized Nets II.- Nearest Interval Approximation of an Intuitionistic Fuzzy Number.- On Intuitionistic Fuzzy Expert Systems With Temporal Parameters.- Generalized Fuzzy Cardinalities of IF Sets.- Invited Session: Soft Computing Techniques for Reputation and Trust II.- Towards Usage Policies for Fuzzy Inference Methodologies for Trust and QoS Assessment.- Simulating a Trust-Based Peer-to-Peer Metadata Publication Center.- The Complex Facets of Reputation and Trust.- Theory I.- Fuzzy Covering Relation and Ordering: An Abstract Approach.- Measures of Differentiability.- Lipschitz Continuity of Triangular Norms.- Plenary Talk.- Formal Models of Knowledge Operators: Rough-Set-Style and Fuzzy-Set-Style Approaches.- Invited Session: Looking at Language with Fuzzy Logic.- Using a Fuzzy Model for Combining Search Results from Different Information Sources to Build a Metasearch Engine.- Some Fuzzy Counterparts of the Language uses of And and Or.- Fuzzy Sets Versus Language.- Theory II.- Some Properties of Fuzzy Languages.- General Form of Lattice Valued Intuitionistic Fuzzy Sets.- A Note on Generated Pseudo-Operations with Two Parameters as a base for the Generalized Pseudo-Laplace Type Transform.- Theory III.- Fuzzy All-Pairs Shortest Paths Problem.- Optimal Toll Charges in a Fuzzy Flow Problem.- Modified Interval Global Weights in AHP.- Plenary Talk.- Fuzzy Approaches to Trust Management.- Invited Session: Complex-Valued Neural Networks.- Proposal of Holographic 3D-Movie Generation Using Coherent Neural-Network Interpolation.- Blur Identification Using Neural Network for Image Restoration.- Solving the Parity n Problem and Other Nonlinearly Separable Problems Using a Single Universal Binary Neuron.- Some Novel Real/Complex-Valued Neural Network Models.- Theory IV.- Extending the Fuzzy Rule Interpolation "FIVE" by Fuzzy Observation.- Fuzzy Rule Interpolation Based on Polar Cuts.- Approximate Reasoning Using Fodor's Implication.- Plenary Talk.- Brain-, Gene-, and Quantum-Inspired Computational Intelligence: Challenges and Opportunities.- Invited Session: Intelligent Data Mining.- Incremental Learning for E-mail Classification.- Reduction of Search Space for Instance-Based Classifier Combination.- Invited Session: Preferences and Decisions.- Linguistic Matrix Aggregation Operators: Extensions of the Borda Rule.- Evolutionary Algorithms.- An Evolutionary Algorithm for the Biobjective QAP.- On a Hill-Climbing Algorithm with Adaptive Step Size: Towards a Control Parameter-Less Black-Box Optimisation Algorithm.- Self-Adaptive Baldwinian Search in Hybrid Genetic Algorithms.- Intragenerational Mutation Shape Adaptation.- Theory V.- The Choquet-Integral as an Aggregation Operator in Case-Based Learning.- Fuzzy Sets and Multicriteria Decision Making.- Fuzzy Reinforcement Learning for Routing in Wireless Sensor Networks.- Outlier Resistant Recursive Fuzzy Clustering Algorithms.- Invited Session: Fuzzy Sets – 40 years after.- Fuzzy Set Theory – 40 Years of Foundational Discussions.- Fuzzy Control – Expectations, Current State, and Perspectives.- Fuzzy Sets in Categories of Sets with Similarity Relations.- Fuzzy Sets as a Special Mathematical Model of Vagueness Phenomenon.- Fuzzy IF-THEN Rules from Logical Point of View.- Applications III.- Synthesizing Adaptive Navigational Robot Behaviours Using a Hybrid Fuzzy A* Approach.- Fuzzy Impulse Noise Reduction Methods for Color Images.- Use of Variable Fuzzy Sets Methods for Desertification Evaluation.- A Fuzzy Ultrasonic System for Estimating Degradation of Insulating Oil.- A Genetic Algorithm-Based Fuzzy Inference System in Prediction of Wave Parameters.- Poster Contributions.- Estimation of Degree of Polymerisation and Residual Age of Transformers Based on Furfural Levels in Insulating Oil Through Generalized Regression Neural Networks.- Fuzzy Shortest Paths in Fuzzy Graphs.- Improving Vegas Algorithm Using PID and Fuzzy PID Controllers.- A Fuzzy-Based Automation Level Analysis in Irrigation Equipment.- Motorized Skateboard Stabilization Using Fuzzy Controller.

Leseproben

Fuzzy Control – Expectations, Current State, and Perspectives (p. 667)

Mirko Navara and Milan Petr´ýk

Summary.

We summarize the history of fuzzy sets. We try to find the reasons why fuzzy control has been so successful in applications. This is mainly explained by the fact that fuzzy logic created an alternative to exact computation and it better fits to the human way of reasoning.

We point out some aspects in which current fuzzy systems are not completely satisfactory and directions in which they should develop in the future.

Key words:

Fuzzy set, Fuzzy control, Computational complexity, Fuzzy arithmetic, Stability.

The idea of partial truth and partial membership is old and it has been rediscovered many times (e.g., (4, 7, 13)). However, the seminal paper (28) has opened a new epoch of its rapid development. Our first question is why exactly this work initiated a revolution if many theoretical results (see (4, 24)) have been derived before and remained almost unnoticed.

One reason is that Zadeh expressed this idea in a way accepted by experts in many fields, not only theoretical, but also applied, even by engineers. The preceding papers were recognized only by a limited community of mathematicians. Now the principle was expressed in a way understandable to everybody and in a context drawing new horizons and capabilities of the new technology based on it. It might have been crucial that the applications in control theory followed very soon (14, 26, 29).

Their success ensures permanent interest of industrial partners and financial support of this field. The second reason of success of fuzzy logic in Zadeh’s approach is the state of control theory in the sixties. Preceding development of computers and cybernetics has brought ambitious expectations which have been satisfied only partially. The rapid development of control theory, as initiated by Wiener, has slowed down.

It solved successfully some problems, in particular in control of linear systems, but it has encountered di.culties in control of systems with high non-linearity. These were partially solved by the developing non-linear control theory and by adaptive control, but this efort has brought much more complex questions without a clear trend to their satisfactory solutions. We bring arguments that in some sense the same happened to fuzzy control a few decades later.

The third reason is a disillusion from the limits of computational power. At the first moment, people were fascinated by the newly open possibility of cheap high-precision computations ofered by computers. However, they recognized soon that some solutions are far from satisfactory. Simplified models failed to describe important features of real systems and the solutions did not perform well on some real-world systems.

Then it was found out that supreme precision is not as important. Instead of that, we need to describe (at least roughly) the complexity of the surrounding world. This requires a representation of numerous relations which are not precisely known, but whose effect is at least intuitively understood by humans. Fuzzy logic offered a tool allowing to implement these ideas easily.