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Computational Intelligence, Theory and Applications - International Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18-20, 2006 Proceedings

Computational Intelligence, Theory and Applications - International Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18-20, 2006 Proceedings

von: Bernd Reusch (Ed.)

Springer-Verlag, 2006

ISBN: 9783540347835, 832 Seiten

Format: PDF, OL

Mac OSX,Windows PC Apple iPad, Android Tablet PC's Online-Lesen für: Linux,Mac OSX,Windows PC

Preis: 223,63 EUR

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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