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Exploring Innovative and Successful Applications of Soft Computing

Book Description

The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in a variety of fields. Exploring Innovative and Successful Applications of Soft Computing highlights the applications and conclusions associated with soft computing in different technological environments. Providing potential results based on new trends in the development of these services, this book aims to be a reference source for researchers, practitioners, and students interested in the most successful soft computing methods applied to recent problems.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
  6. Foreword
  7. Preface
  8. Acknowledgment
  9. Chapter 1: A Problem of Ecological Dynamic Logistics
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. UNDERSTANDING THE PROBLEM
    5. METHODOLOGY OF RESOLUTION
    6. APPLICATION EXAMPLES
    7. CONCLUSION
  10. Chapter 2: Fuzzy Techniques for Improving Satisfaction in Economic Decisions
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THE FUZZY MODELS
    5. EXPERIMENTAL STUDY
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  11. Chapter 3: A Feature Selection Approach in the Study of Azorean Proverbs
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. FEATURE SELECTION
    4. 3. LOGICAL ANALYSIS OF INCONSISTENT DATA (LAID)
    5. 4. LAID VALIDATION
    6. 5. LAID RESULTS
    7. 6. CONCLUSION
  12. Chapter 4: Hydropower Projects within a Municipal Water Supply System
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. INSTALLATION OF MINI HYDROELECTRIC PROJECTS IN A WATER SUPPLY SYSTEM IN NORTHERN GREECE
    5. DESIGN AND CREATION OF THE OPTIMIZATION MODEL
    6. HARMONY SEARCH ALGORITHM (HSA)
    7. RESULTS
    8. CONCLUSION
  13. Chapter 5: Soft Computing in the Quality of Services Evaluation
    1. ABSTRACT
    2. INTRODUCTION
    3. MODELS OF SERVICES QUALITY
    4. CONCLUSION
  14. Chapter 6: Fuzzy Rules for Risk Assessment and Contingency Estimation within COCOMO Software Project Planning Model
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. FUZZY-EXCOM MODEL FOR SOFTWARE PROJECT PLANNING
    5. CONCLUSION
  15. Chapter 7: Modeling and Prediction of Time-Varying Environmental Data Using Advanced Bayesian Methods
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MATERIAL AND METHODS
    4. 3. SIMULATIONS RESULTS ANALYSIS
    5. 4. CONCLUSION
  16. Chapter 8: Fuzzy Modeling for Manpower Scheduling
    1. ABSTRACT
    2. INTRODUCTION
    3. FUZZY MODELING
    4. TAXONOMIC FRAMEWORK
    5. SCHEDULING FOR TASK-BASED DEMAND
    6. SCHEDULING FOR FLEXIBLE DEMAND
    7. SCHEDULING FOR SHIFT-BASED DEMAND
    8. CONCLUSIONS AND FURTHER RESEARCH
  17. Chapter 9: Group Genetic Algorithm for Heterogeneous Vehicle Routing
    1. ABSTRACT
    2. INTRODUCTION
    3. HETEROGENEOUS FLEET VEHICLE ROUTING
    4. THE GROUP GENETIC ALGORITHM APPROACH
    5. GGA APPLICATION
    6. COMPUTATIONAL TESTS, RESULTS AND DISCUSSIONS
    7. COMPUTATIONAL RESULTS AND DISCUSSIONS
    8. CONCLUSION AND FURTHER RESEARCH
  18. Chapter 10: Fuzzy Nonlinear Optimization Model to Improve Intermittent Demand Forecasting
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MODEL FORMULATION
    5. COMPUTATIONAL STUDY
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  19. Chapter 11: Decision Criteria for Optimal Location of Wind Farms
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DECISION CRITERIA FOR THE OPTIMAL LOCATION OF WIND FARMS
    4. 3. METHODOLOGY
    5. 4. OBTAINING THE WEIGHT
    6. 5. CONCLUSION
  20. Chapter 12: Bipolarity in Decision Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. BIPOLARITY TO COPE WITH INDECISION: SATISFICING GAMES
    6. SOCIALITY IN DECISION ANALYSIS: MODELING SOCIAL INFLUENCE
    7. ATTRIBUTES – OBJECTIVES RELATIONSHIPS: BOCR ANALYSIS
    8. AGGREGATION TO SYNTHESIZE GATHERED INFORMATION
    9. MODELING COLLECTIVE DECISION PROBLEM
    10. MODELING GAME PROBLEMS
    11. ILLUSTRATIVE APPLICATION
    12. FUTURE RESEARCH DIRECTIONS
    13. CONCLUSION
  21. Chapter 13: A Soft Computing-Based Idea Applied to the Truck and Trailer Routing Problem
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. TRUCK AND TRAILER ROUTING PROBLEM
    5. A SOFT COMPUTING - BASED APPROACH
    6. CONCLUSION
  22. Chapter 14: Improving the Performance of Neuro-Fuzzy Function Point Backfiring Model with Additional Environmental Factors
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKFIRING TECHNIQUE
    4. NEURO-FUZZY BACKFIRING MODEL DESIGN
    5. CALIBRATING USING NEURAL NETWORK
    6. NEURO-FUZZY BACKFIRING MODEL WITH ENVIRONMENTAL FACTORS
    7. EVALUATING THE MODELS
    8. RESULTS
    9. DISCUSSIONS
    10. FUTURE RESEARCH DIRECTIONS
    11. CONCLUSION
  23. Chapter 15: An Integrated Bi-Objective Reverse Logistics Network Design for Remanufacturing
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED LITERATURE
    4. 3. PROBLEM DEFINITON
    5. 4. MATHEMATICAL PROGRAMMING FORMULATION
    6. 5. SOLUTION METHODOLGY
    7. 6. COMPUTATIONAL RESULTS
    8. 7. CONCLUSION AND FUTURE RESEARCH DECISIONS
  24. Compilation of References
  25. About the Contributors