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Computational Intelligence, Theory and Applications - International Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18-20, 2006 Proceedings
Preface
6
Programme Chairs
7
Programme Committee
7
Local Organization
7
Contents
8
List of Contributors
18
Plenary Talk
31
From Search Engines to Question-Answering Systems: The Problems of World Knowledge, Relevance, Deduction, and Precisiation
31
Invited Session: Fuzzy Multiperson and Multicriteria Decisions Modelling
35
A Fuzzy Approach to Optimal R&D Project Portfolio Selection
35
1 Introduction
35
2 Real Options for R&D Portfolios
37
3 A Hybrid Approach to Real Option Valuation
39
4 A Possibilistic Approach to R&D Portfolio Selection
40
5 Summary
42
References
42
Choquet Integration and Correlation Matrices in Fuzzy Inference Systems
45
References
47
Linguistic Summarization of Some Static and Dynamic Features of Consensus Reaching
49
1 Introduction
49
2 Degrees of Consensus under Fuzzy Preferences and a Fuzzy Majority
50
3 A Consensus Reaching Process and Linguistic Data Summarization
52
4 A Dynamic View of Consensus Reaching
55
5 Concluding Remarks
56
References
56
Consistency for Nonadditive Measures: Analytical and Algebraic Methods
59
1 Choosing Among Several Alternatives
59
2 Fuzzy Measures on the Set of Objectives
60
3 Aggregation of Fuzzy Measures with Respect to a t- Conorm
62
4 Algebraic and Geometric Representations by Means of Hypergroups
64
5 Assessment of Consistent Measures to the Objectives
67
6 An Algorithm to Compare the Alternatives
69
7 An Extension to the Fuzzy Measures of Type 2
69
References
70
Neural Nets
71
Neuro-Fuzzy Kolmogorov’s Network with a Modified Perceptron Learning Rule for Classification Problems
71
1 Introduction
71
2 Network Architecture
72
3 Learning Algorithm
73
4 Experiments
76
5 Conclusion
78
References
79
A Self-Tuning Controller for Teleoperation System using Evolutionary Learning Algorithms in Neural Networks
81
1 Introduction
81
2 Neural Controller and Evolutionary Programming
84
3 Fitness Function
86
4 Simulation Results
87
5 Conclusion
89
References
89
A Neural-Based Method for Choosing Embedding Dimension in Chaotic Time Series Analysis
91
1 Introduction
91
2 Characteristics of Chaotic Systems
93
3 Maximal Lyapunov Exponent
93
4 Phase Space Reconstruction, Embedding Theorems
94
5 Choosing the Delay Time
95
6 Embedding Dimension Estimation
96
7 Predictive Method for Minimum Embedding Dimension Estimation
97
8 Indirect Method for Maximal Lyapunov Estimation
99
9 Simulation Results
99
10 Conclusion
102
References
103
On Classification of Some Hop.eld-Type Learning Rules via Stability Measures
105
1 Introduction
105
2 The Hopfield Model and Its Storage Capacity
106
3 Some Learning Methods and Architectures
106
4 Empirical Analysis of Storage Capacity
108
5 Classification of Hopfield Memories via a Stability Measure
109
6 Classification of the Models via Experimental Analysis
110
7 Conclusion
112
References
113
Applications I
115
A New Genetic Based Algorithm for Channel Assignment Problems
115
1 Introduction
115
2 Channel Assignment Problem Formulation
116
3 Conventional Genetic Algorithm
117
4 Our New Method Based on Genetic Algorithm
117
5 Simulation Results
119
6 Conclusion
120
Acknowledgment
121
References
121
Max-Product Fuzzy Relational Equations as Inference Engine for Prediction of Textile Yarn Properties
123
1 Introduction
123
2 Max-Prod Fuzzy Linear Equations as Inference Engine
124
3 Implementation Methodology
127
4 Numerical Example
130
5 Discussion
131
6 Conclusions
132
Acknowledgments
132
References
132
Automatic Defects Classification and Feature Extraction Optimization
135
1 Motivation
135
2 Automatic Classification System
136
3 Feature Extraction Technologies
136
4 Classification Results
140
5 Optimization of Feature Extraction
140
6 Summary
145
References
145
Short-Term Load Forecasting in Power System Using Least Squares Support Vector Machine
147
1 Introduction
147
2 Review of LS-SVM
148
3 Short-Term Forecasting Using LS-SVM
150
4 Examples
152
5 Conclusions
154
6 Copyright Form
154
References
155
Appendix: Springer-Author Discount
156
Plenary Talk
157
Fifteen Years of Fuzzy Logic in Dortmund
157
1 Introduction
157
2 Basic Operations
158
3 Fuzzy Logic
159
4 Inference Methods
160
5 Fuzzy Relations
161
6 Fuzzy Sets, Related Concepts, and Applications
161
7 Concluding Remarks
163
References
165
Invited Session: Intuitionistic Fuzzy Sets and Generalized Nets I
169
Intuitionistic Fuzzy Graphs
169
1 Introduction
169
2 Preliminaries
170
3 Properties
173
4 Conclusion
179
Acknowledgement
179
References
179
On Some Intuitionistic Properties of Intuitionistic Fuzzy Implications and Negations
181
1 Introduction: on Some Previous Results
181
2 Main Results
182
3 Conclusion
186
References
188
On Intuitionistic Fuzzy Negations
189
1 Introduction: on Some Previous Results
189
2 Main Results
191
3 Conclusion: a New Argument that the Intuitionistic Fuzzy Sets Have Intuitionistic Nature
195
References
197
Invited Session: Soft Computing Techniques for Reputation and Trust I
199
A Simulation Model for Trust and Reputation System Evaluation in a P2P Network
199
1 Model Requirements
200
2 The Peer Behavior Model
205
3 The Simulation Model
206
4 Conclusions
209
References
209
A Fuzzy Trust Model Proposal to Ensure the Identity of a User in Time
211
1 Introduction
211
2 User Authentication Systems and Their Trustfulness
212
3 Architecture of the Model
216
4 Trust Model Rules
218
5 Conclusions
219
Acknowledgments
220
References
220
Quantification of the Effectiveness of the Markov Model for Trustworthiness Prediction
221
1 Introduction
221
2 Exogenous Parameters Used in the Simulation
223
3 Behaviors of the Agents in the Prototype Simulation
223
4 Effectiveness of Markov Model on Trust Based Decision Making
225
5 Conclusions and Future Work
229
References
230
Applications II
231
Fuzzy-Genetic Methodology for Web-based Computed- Aided Diagnosis in Medical Applications
231
1 Introduction
231
2 Materials and Methods
233
3 Case Study
239
4 Concluding Remarks
242
5 Acknowledgments
242
References
242
Weight Optimization for Loan Risk Estimation with Genetic Algorithm
245
1 Introduction
245
2 GA in Weight Optimization Task
246
3 An Individual Fitness
247
4 Crossover
248
5 Mutation
248
6 Experimental Results
249
7 Conclusions
250
Acknowledgments
250
References
250
A Fuzzy Feature Extractor Neural Network and its Application in License Plate Recognition
253
1 Introduction
253
2 Feature Extractor Fuzzy Neural Network
254
3 License Plate Type Recognition
255
4 Results
256
References
257
Invited Session: Intuitionistic Fuzzy Sets and Generalized Nets II
259
Nearest Interval Approximation of an Intuitionistic Fuzzy Number
259
1 Intuitionistic Fuzzy Numbers
259
2 Distances between Intuitionistic Fuzzy Numbers
261
3 Nearest Interval Approximation of Intuitionistic Fuzzy Numbers
262
4 Properties of the Nearest Intervals Approximation of Intuitionistic Fuzzy Numbers
268
References
270
On Intuitionistic Fuzzy Expert Systems With Temporal Parameters
271
1 Introduction
271
2 Short Remarks on IFL
271
3 Main Results
275
4 Conclusion
279
References
279
Generalized Fuzzy Cardinalities of IF Sets
281
1 Introduction
281
2 Preliminaries
281
3 Fuzzy Cardinality of Fuzzy Sets
285
4 Fuzzy Cardinality of IF Sets
287
Conclusion
290
References
291
Invited Session: Soft Computing Techniques for Reputation and Trust II
293
Towards Usage Policies for Fuzzy Inference Methodologies for Trust and QoS Assessment
293
1 Related Work
294
2 Fuzzy Trust and QoS Assessment
295
3 Fuzzy Rules and Inference Methodologies
297
4 Usage Policies for Fuzzy Inference Methodologies
299
5 Conclusion
302
References
303
Simulating a Trust-Based Peer-to-Peer Metadata Publication Center
305
1 Introduction
305
2 The Trust Layer Architecture
306
3 Setting a Trust Layer Simulator
308
4 Some Examples of Simulations
309
Acknowledgments
309
References
310
The Complex Facets of Reputation and Trust
311
1 Introduction
311
2 Fundamentals
312
3 State-of-the-Art
312
4 Propagation of Reputation Information
315
5 Bounded Rationality
317
6 Behavioral Evolution
318
7 Second-Order Defection Problem
319
8 Inhomogeneous Interactions
320
9 Identity Stability
321
10 Conclusions
322
References
323
Theory I
325
Fuzzy Covering Relation and Ordering: An Abstract Approach
325
1 Covering and Order in Crisp Case
325
2 Lattice-Valued Fuzzy Order and Covering
327
3 Examples
329
4 Conclusion
330
Acknowledgment
330
References
330
Measures of Differentiability
331
1 Introduction and Preliminaries
331
2 Measures of Differentiability
333
Acknowledgment
336
References
336
Lipschitz Continuity of Triangular Norms
339
1 Introduction
339
2 k-Lipschitz t-Norms
341
3 Boundaries of the Class of k-lp-Lipschitz t-Norms
343
4 Transformations of k-Lipschitz t-Norms
349
Acknowledgment
351
References
351
Plenary Talk
353
Formal Models of Knowledge Operators: Rough- Set- Style and Fuzzy- Set- Style Approaches
353
References
353
Invited Session: Looking at Language with Fuzzy Logic
355
Using a Fuzzy Model for Combining Search Results from Di . erent Information Sources to Build a Metasearch Engine
355
1 Introduction
355
2 Foundations
356
3 Metasearch
358
4 Design and Implementation
359
5 Conclusion
362
Acknowledgment
364
References
364
Some Fuzzy Counterparts of the Language uses of And and Or
365
1 Introduction
365
2 Standard Models of And (Or) in Fuzzy Logic
368
3 Relations Induced by an Operation
370
4 Conjunction and Weak Conjunction
370
5 Inclusive or: Disjunction and Weak Disjunction
374
6 Exclusive or: Symmetric Di.erence
377
7 Conclusions
380
Acknowledgment
381
References
381
Fuzzy Sets Versus Language
383
1 Introduction
383
2 On General Theories of Fuzzy Sets
385
3 Decomposable Theories of Fuzzy Sets
386
4 Examples Suggesting a Generalization of the Theories ( T, S, N)
390
5 Antonyms
393
6 Last Comments
395
Acknowledgment
396
References
396
Theory II
397
Some Properties of Fuzzy Languages
397
1 Introduction
397
2 Fuzzy Chomsky Languages
398
3 Fuzzy Petri Net Languages
400
4 Fuzzy Lindenmayer Languages
402
5 Closing Remarks
403
References
403
General Form of Lattice Valued Intuitionistic Fuzzy Sets
405
1 Introduction
405
2 Results
407
Acknowledgement
410
References
411
A Note on Generated Pseudo-Operations with Two Parameters as a base for the Generalized Pseudo- Laplace Type Transform
413
1 Introduction
413
2 Preliminary Notions
414
3 The Generalized (,)-Laplace Transform Based on
3 The Generalized (,)-Laplace Transform Based on
416
416
4 Pseudo-Aggregation Operators Based on the
4 Pseudo-Aggregation Operators Based on the
421
421
5 Conclusion
423
Acknowledgments
423
References
423
Theory III
425
Fuzzy All-Pairs Shortest Paths Problem
425
1 Introduction
425
2 Crisp Problem and Its Time Complexity
426
3 Fuzzy Version of the APSPP
431
4 Conclusions
433
Acknowledgement
434
References
434
Optimal Toll Charges in a Fuzzy Flow Problem
435
1 Introduction
435
2 The Fuzzy Flow Problem
436
3 The Toll Finding Problem and Its Reformulation
437
4 Solution Algorithm for the Bilevel Programming Problem
439
5 Conclusion
442
References
442
Modified Interval Global Weights in AHP
445
1 Introduction
445
2 Interval Priority Weights from Crisp Pairwise Comparisons
446
3 Numerical Example
451
4 Conclusion
453
References
454
Plenary Talk
455
Fuzzy Approaches to Trust Management
455
1 Introduction
455
2 Trust Management Systems
456
3 Trust Negotiation Protocols
457
4 Reputation-Based Protocols
458
5 Aggregation-Based Methods for Computing Trust
459
6 Fuzzy Rule-Based Methods for Trust Management
463
7 Conclusions
463
Acknowledgments
464
References
464
Invited Session: Complex-Valued Neural Networks
467
Proposal of Holographic 3D-Movie Generation Using Coherent Neural- Network Interpolation
467
1 Introduction
467
2 Hologram Interpolation Utilizing Generalization
467
3 Simulation Experiment
468
4 Summary
468
References
468
Blur Identification Using Neural Network for Image Restoration
471
1 Introduction
471
2 Image Restoration Problem
473
3 Multilayer Neural Network Based On Multi-Valued Neurons
474
4 Simulations
478
5 Conclusions
483
Acknowledgment
483
References
483
Solving the Parity n Problem and Other Nonlinearly Separable Problems Using a Single Universal Binary Neuron
487
1 Introduction
487
2 UBN and MVN
488
3 Solving the Parity n Problem Using a Single UBN
495
4 Implementation of the Edge Detecting Boolean Functions
499
4 Conclusions
500
References
500
Some Novel Real/Complex-Valued Neural Network Models
503
1 Introduction
503
2 Continuous Time Perceptron and Generalizations
504
3 A New Mathematical Model of Neuron/Single Perceptron
505
4 Abstract Mathematical Structure of Neuronal Models
506
5 Finite Impulse Response Model of Synapses: Neural Networks
508
6 Novel Continuous Time Associative Memory
509
7 Multi-Dimensional Generalizations
511
8 Generalization to Complex-Valued Neural Networks
512
9 Conclusions
512
References
513
Theory IV
515
Extending the Fuzzy Rule Interpolation “ FIVE” by Fuzzy Observation
515
1 Introduction
516
2 The concept of Vague Environment
517
3 Approximate Scaling Function
519
4 Shepard Interpolation for Fuzzy Reasoning: “FIVE&rdquo
520
5 Fuzzy Observation by Merging Vague Environments
522
6 Example
524
7 Conclusions
525
Acknowledgement
526
References
526
Fuzzy Rule Interpolation Based on Polar Cuts
529
1 A Brief Overview of Fuzzy Rule Interpolation Methods
530
2 The Structure of the Proposed Method
530
3 Fuzzy Set Interpolation Based on Linguistic Term Shifting and Polar Cuts
531
4 The Position of the Consequent Sets
534
5 Single Rule Reasoning Based on Polar Cuts
535
6 Numerical Examples
538
7 Conclusions
539
8 Acknowledgments
539
References
540
Approximate Reasoning Using Fodor’s Implication
543
1 Introduction
543
2 Basic Concepts
544
3 Generalized Modus Ponens with Fodor’s Implication
545
References
549
Plenary Talk
551
Brain-, Gene-, and Quantum-Inspired Computational Intelligence: Challenges and Opportunities
551
1 Introduction: Brain, Gene, and Quantum Levels of Information Processing in the Brain as Inspirations for ANN and CI Models
552
2 Some Brain-Inspired ECOS Models
553
3 Brain–Gene-Inspired CNGM
559
4 Quantum-Inspired Evolving Connectionist Models
563
5 Conclusions and Directions for Further Research
569
Acknowledgement
569
References
570
Invited Session: Intelligent Data Mining
575
Incremental Learning for E-mail Classification
575
1 Introduction
575
2 Incremental Learning
576
3 Partial Memory Incremental Learning Algorithm FLORA2
577
4 Experiments
580
5 Conclusions
582
References
583
Reduction of Search Space for Instance-Based Classifier Combination
585
1 Introduction
585
2 Reduction of Search Space via Data Condensation
586
3 Adaptive Classi.er Combination
587
4 Case Study: Credit Scoring Data Set
588
5 Conclusions
589
Acknowledgement
590
References
590
Invited Session: Preferences and Decisions
591
Linguistic Matrix Aggregation Operators: Extensions of the Borda Rule
591
1 Introduction
591
2 Extending the Classic Borda Rule to a Linguistic Framework
593
3 Linguistic Matrix Aggregation Operators and Decision Rules
596
4 Social Choice Type Properties
600
5 Some Further Extensions and Concluding Remarks
602
Acknowledgments
603
References
603
Evolutionary Algorithms
607
An Evolutionary Algorithm for the Biobjective QAP
607
1 Introduction
607
2 The EC-Memory Method
608
3 The New Algorithm
610
4 Experimental Results
612
5 Summary
615
Acknowledgements
615
References
615
On a Hill-Climbing Algorithm with Adaptive Step Size: Towards a Control Parameter- Less Black- Box Optimisation Algorithm
617
1 Introduction
617
2 Self-Adaptive Step-size Search (SASS)
618
3 Experiments
618
4 Experimental Results
620
5 Analysis of the SASS Algorithm
620
6 Conclusions and Future Work
624
References
625
Self-Adaptive Baldwinian Search in Hybrid Genetic Algorithms
627
1 Introduction
627
2 Evolutionary Self-Adaptation and Duration of Local Search
628
3 Experiments
629
4 Discussion
630
5 Conclusions
631
References
631
Intragenerational Mutation Shape Adaptation
633
1 Introduction
633
2 The DCMA-ES Algorithm
634
3 Experimental Results
638
4 Conclusions
642
References
642
Theory V
645
The Choquet-Integral as an Aggregation Operator in Case- Based Learning
645
1 Introduction
645
2 Nearest Neighbor Estimation
646
3 The Cho-k-NN Method
647
4 Empirical Validation
651
5 Speci.cation of Similarity Measures
653
6 Concluding Remarks
655
References
656
Fuzzy Sets and Multicriteria Decision Making
659
1 Introduction
659
2 Fuzzy Measures/Aggregation Approach
660
3 Fuzzy Logic Based Construction of Preference Relations
661
4 Preference Relations Based on Orderings of Fuzzy Quantities
662
5 Conclusion
663
Acknowledgment
664
References
664
Fuzzy Reinforcement Learning for Routing in Wireless Sensor Networks
667
1 Introduction
667
2 Assumptions and Problem Formulation
668
3 Fuzzy Reinforcement Learning for Routing in Wireless Sensor Networks
669
4 Experimental Results
673
5 Conclusion
673
References
674
Outlier Resistant Recursive Fuzzy Clustering Algorithms
677
1 Introduction
677
2 Recursive Fuzzy Clustering Algorithm
678
3 Experiments
679
4 Conclusion
681
References
681
Invited Session: Fuzzy Sets – 40 years after
683
Fuzzy Set Theory – 40 Years of Foundational Discussions
683
1 Introduction
683
2 Model Oriented Constructions
684
3 Axiomatizations
688
4 Category Theoretic Approaches
689
References
693
Fuzzy Control – Expectations, Current State, and Perspectives
697
1 Success of Fuzzy Control
698
2 General Problems
701
3 Specific Problems
702
4 Conclusions and Perspectives
704
Acknowledgments
704
References
704
Fuzzy Sets in Categories of Sets with Similarity Relations
707
1 Introduction
707
2 Fuzzy Sets in -sets
708
3 Properties of functors
711
References
712
Fuzzy Sets as a Special Mathematical Model of Vagueness Phenomenon
713
1 Introduction
713
2 Uncertainty and Vagueness
714
3 Actuality and Potentiality
715
4 Fuzzy Sets Naturally Emerge as a Graded Model of Vagueness
716
5 Future Development of Fuzzy Set Theory
718
6 Conclusion
719
References
719
Fuzzy IF-THEN Rules from Logical Point of View
721
1 Introduction
721
2 Special Theory of Fuzzy IF-THEN Rules
724
3 Conclusion
727
References
727
Applications III
683
Synthesizing Adaptive Navigational Robot Behaviours Using a Hybrid Fuzzy A* Approach
729
1 Introduction
729
2 General System Architecture (Fig. 1)
730
3 The Evasion Algorithm
731
4 Cascade of Fuzzy Systems
736
5 Conclusions
739
References
739
Fuzzy Impulse Noise Reduction Methods for Color Images
741
1 Introduction
741
2 Filters for Noise Reduction
742
3 Comparative Study
744
4 Conclusion
749
References
749
Use of Variable Fuzzy Sets Methods for Desertification Evaluation
751
1 Introduction
751
2 Principle of VFS
752
3 VFS for Comprehensive Evaluation of the Deserti . cation Degree
754
4 Conclusion
759
Acknowledgments
760
References
760
A Fuzzy Ultrasonic System for Estimating Degradation of Insulating Oil
763
1 Introduction
763
2 Preliminaries
764
3 Fuzzy Ultrasonic Estimation System
765
4 Experimental Results
769
5 Conclusions
769
References
770
A Genetic Algorithm-Based Fuzzy Inference System in Prediction of Wave Parameters
771
1 Introduction
771
2 Fuzzy Inference Systems (FISs)
772
3 Subtractive Clustering
774
4 Hybrid GA-ANFIS Model
776
5 Application
777
6 Summary and Conclusions
779
References
779
Poster Contributions
781
Estimation of Degree of Polymerisation and Residual Age of Transformers Based on Furfural Levels in Insulating Oil Through Generalized Regression Neural Networks
781
1 Introduction
781
2 Transformer Insulation Measurement and Residual Life Assessment
782
3 Choice of Arti.cial Neural Networks
782
4 Application of Generalized Regression Neural Networks
783
5 Conclusion
785
Acknowledgement
786
References
786
Fuzzy Shortest Paths in Fuzzy Graphs
787
1 Introduction
787
2 Preliminaries
788
3 The Proposed Method
789
4 The Proposed Algorithm
792
5 Simulation
793
6 Conclusion
794
References
794
Improving Vegas Algorithm Using PID and Fuzzy PID Controllers
795
1 Introduction
795
2 Congestion Control
795
3 TCP Vegas
796
4 Developing TCP Vegas using PID Controller
797
5 Developing TCP Vegas using Fuzzy PID Controller
797
6 Performance Evaluation
800
7 Conclusion
804
8 Acknowledgment
805
References
805
A Fuzzy-Based Automation Level Analysis in Irrigation Equipment
807
1 Introduction
807
2 Automation Level and Automation Threshold
808
3 Automation Level Determination
808
4 Energy Resources
809
5 Field
810
6 Mechanization
813
7 Fuzzy Analyzer
813
8 Simulation Results
815
9 Conclusion
816
References
817
Motorized Skateboard Stabilization Using Fuzzy Controller
819
1 Introduction
819
2 Skateboard Model
820
3 Body Model
821
4 Signal processor
822
5 Fuzzy Tuner
823
6 Simulation Results
825
7 Conclusion
827
References
828
Index
831
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