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Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization

Book Description

Real world problems are complex and full of uncertainty. Fuzzy computing technologies embedded into data analysis methodologies and decision-making processes help to address the complexity of these problems. Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization presents the most innovative systematic and practical facets of fuzzy computing technologies to students, scholars, and academicians, as well as practitioners, engineers, and professionals. This premier reference source focuses on up-to-date theoretical views of fuzzy computing while highlighting empirical approaches useful to real world utilization.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Associate Editors
    2. Editorial Advisory Board
  5. Preface
  6. Acknowledgment
  7. Chapter 1: Fuzzy C-Means in High Dimensional Spaces
    1. ABSTRACT
    2. INTRODUCTION
    3. THE TEST DATA SETS FOR FCM
    4. THE OBJECTIVE FUNCTION IN HIGH DIMENSIONAL SPACES
    5. CONCLUSION
  8. Chapter 2: Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. PCA-GUIDED CLUSTER VALIDATION
    5. NUMERICAL EXPERIMENTS
    6. CONCLUSION
  9. Chapter 3: A Fuzzy Clustering Model for Fuzzy Data with Outliers
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORKS
    4. THE PROPOSED DISTANCE FOR FUZZY DATA
    5. FUZZY CLUSTERING OF FUZZY DATA WITH OUTLIERS
    6. SIMULATION EXPERIMENTS
    7. CONCLUSION AND FUTURE WORK
  10. Chapter 4: A New Efficient and Effective Fuzzy Modeling Method for Binary Classification
    1. ABSTRACT
    2. INTRODUCTION
    3. A NEW FUZZY MODELING METHOD AND SIX OTHERS FOR COMPARISON
    4. DATASETS AND TEST RESULTS
    5. DISCUSSION
    6. CONCLUSION
  11. Chapter 5: On Possibilistic and Probabilistic Information Fusion
    1. ABSTRACT
    2. INTRODUCTION
    3. POSSIBILITY-PROBABILITY TRANSFORMATIONS
    4. ENTROPY CONSTRAINING PROBABILITY TRANSFORMATIONS
    5. ON THE RELATIONSHIP BETWEEN INPUT AND OUTPUT PROBABILITIES
    6. MULTI-SOURCE FUSION
    7. CONCLUSION
  12. Chapter 6: Applying a Fuzzy and Neural Approach for Forecasting the Foreign Exchange Rate
    1. ABSTRACT
    2. INTRODUCTION
    3. THE FLR-BPN APPROACH
    4. A PRACTICAL EXAMPLE
    5. CONCLUSION AND DIRECTIONS FOR FUTURE RESEARCH
  13. Chapter 7: A Novel Fuzzy Associative Memory Architecture for Stock Market Prediction and Trading
    1. ABSTRACT
    2. INTRODUCTION
    3. THE FAM-AARS ARCHITECTURE
    4. THE FAM-AARS INFERENCE SCHEME
    5. THE FAM-AARS ARCHITECTURE
    6. THE FAM-AARS NETWORK STRUCTURE
    7. THE FAM-AARS INFERENCE RULES
    8. THE FAM-AARS LEARNING RULES
    9. FAM-AARS PERFORMANCE EVALUATION
    10. STOCK MARKET PREDICTION AND TRADING
    11. CONCLUSION
  14. Chapter 8: Hand Gesture Recognition Using Multivariate Fuzzy Decision Tree and User Adaptation
    1. ABSTRACT
    2. INTRODUCTION
    3. VISION-BASED HAND GESTURE RECOGNITION FOR THE SOFT REMOTE CONTROL SYSTEM
    4. MULTIVARIATE FUZZY DECISION TREE
    5. MODEL SELECTION AND USER ADAPTATION
    6. EXPERIMENTAL RESULTS
    7. CONCLUDING REMARKS
  15. Chapter 9: Gesture Spotting Using Fuzzy Garbage Model and User Adaptation
    1. ABSTRACT
    2. INTRODUCTION
    3. OBJECTIVE AND ASSUMPTIONS
    4. GESTURE SPOTTING METHOD
    5. EXPERIMENTAL RESULTS
    6. CONCLUDING REMARKS
  16. Chapter 10: Indirect Adaptive Fuzzy Control for a Class of Uncertain Nonlinear Systems with Unknown Control Direction
    1. ABSTRACT
    2. INTRODUCTION
    3. PROBLEM FORMULATION
    4. BRIEF DESCRIPTION OF THE USED FUZZY SYSTEMS
    5. ADAPTIVE FUZZY CONTROLLER DESIGN
    6. SIMULATION RESULTS
    7. CONCLUSION
  17. Chapter 11: Approximated Simplest Fuzzy Logic Controlled Shunt Active Power Filter for Current Harmonic Mitigation
    1. ABSTRACT
    2. INTRODUCTION
    3. FUZZY LOGIC CONTROLLER (FLC)
    4. BASIC COMPENSATION PRINCIPLE AND CONTROL SCHEME OF SHUNT ACTIVE POWER FILTER (APF)
    5. SIMULATION RESULTS
    6. CONCLUSION
  18. Chapter 12: Semidefinite Programming-Based Method for Implementing Linear Fitting to Interval-Valued Data
    1. ABSTRACT
    2. INTRODUCTION
    3. PRELIMINARIES
    4. QCQP FORM OF AN INTERVAL-VALUED DATA FITTING PROBLEM
    5. SOLVING THE INTERVAL-VALUED DATA FITTING PROBLEM WITH SEMIDEFINITE PROGRAMMING
    6. EXPERIMENTAL STUDIES
    7. CONCLUSION
    8. APPENDIX A
    9. APPENDIX B
  19. Chapter 13: System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network
    1. ABSTRACT
    2. INTRODUCTION
    3. BRIEF DESCRIPTION OF INTERVAL TYPE-2 FUZZY LOGIC SYSTEM
    4. 1. CONSTRUCTION OF RIT2FNN
    5. 1. BP ALGORITHM FOR THE RIT2FNN
    6. SIMULATION EXAMPLE
    7. CONCLUSION
  20. Chapter 14: Integrated Circuit Emission Model Extraction with a Fuzzy Logic System
    1. ABSTRACT
    2. INTRODUCTION
    3. MODELING OF THE CIRCUIT UNDER TEST
    4. DESIGN OF THE FUZZY LOGIC SYSTEM
    5. THE BRIEF DESCRIPTION OF CIRCUIT EXTRACTION
    6. EXPERIMENTAL EXAMPLE
    7. CONCLUSION
  21. Chapter 15: Optimizing the Performance of Plastic Injection Molding Using Weighted Additive Model in Goal Programming
    1. ABSTRACT
    2. INTRODUCTION
    3. INJECTION MOLDING
    4. THE PROPOSED PROCEDURE
    5. IMPLEMENTATION OF OPTIMIZATION PROCEDURE
    6. CONCLUSION
    7. APPENDIX
  22. Chapter 16: Modelling the Long-Term Cost Competitiveness of a Semiconductor Product with a Fuzzy Approach
    1. ABSTRACT
    2. INTRODUCTION
    3. FORECASTING THE FUTURE UNIT COST
    4. EVALUATING THE LONG-TERM COST COMPETITIVENESS
    5. A DEMONSTRATIVE CASE
    6. CONCLUSION
  23. Chapter 17: Extension of the TOPSIS for Multi-Attribute Group Decision Making under Atanassov IFS Environments
    1. ABSTRACT
    2. INTRODUCTION
    3. PRELIMINARIES
    4. TOPSIS
    5. THE EXTENDED TOPSIS FOR MAGDM PROBLEMS UNDER ATANASSOV IFS ENVIRONMENTS
    6. A NUMERICAL EXAMPLE
    7. CONCLUSION
  24. Chapter 18: Applying the Linguistic Strategy-Oriented Aggregation Approach to Determine the Supplier Performance with Ordinal and Cardinal Data Forms
    1. ABSTRACT
    2. INTRODUCTION
    3. RESEARCH METHOD AND PURPOSE
    4. THE MULTIPLE CRITERIA MATRIX FOR SUPPLIER PERFORMANCE EVALUATION
    5. EVALUATION WITH A 2-TUPLE LINGUISTIC VARIABLE
    6. THE AGGREGATION OF 2-TUPLE LINGUISTIC INFORMATION
    7. A NUMERICAL EXAMPLE
    8. DISCUSSION AND CONCLUSION
  25. Compilation of References
  26. About the Contributors