You are previewing International Journal of Rough Sets and Data Analysis (IJRSDA) Volume 3, Issue 3.
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International Journal of Rough Sets and Data Analysis (IJRSDA) Volume 3, Issue 3

Book Description

The International Journal of Rough Sets and Data Analysis (IJRSDA) is a multidisciplinary journal that publishes high-quality and significant research in all fields of rough sets, granular computing, and data mining techniques. Rough set theory is a mathematical approach concerned with the analysis and modeling of classification and decision problems involving vague, imprecise, uncertain, or incomplete information. Rough sets have been proposed for a variety of applications, including artificial intelligence and cognitive sciences, especially machine learning, knowledge discovery, data mining, expert systems, approximate reasoning, and pattern recognition. The journal extends existing research findings (theoretical innovations and modeling applications) to provide the highest quality original concepts, hybrid applications, innovative methodologies, and development trends studies for all audiences. This journal publishes original articles, reviews, technical reports, patent alerts, and case studies on the latest innovative findings of new methodologies and techniques.

This issue contains the following articles:

  • Theoretical Analysis of Different Classifiers under Reduction Rough Data Set: A Brief Proposal
  • Swarm Intelligence for Automatic Video Image Contrast Adjustment
  • Understanding Retail Consumer Shopping Behaviour Using Rough Set Approach
  • Gene Expression Analysis based on Ant Colony Optimisation Classification
  • Accident Causation Factor Analysis of Traffic Accidents using Rough Relational Analysis
  • A Disaster Management Specific Mobility Model for Flying Ad-hoc Network

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Theoretical Analysis of Different Classifiers under Reduction Rough Data Set:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW
    4. 3. SYSTEM ARCHITECTURE
    5. 4. METHODOLOGIES
    6. 5. RESULT ANALYSES AND IMPLEMENTATION
    7. 6. CONCLUSION
    8. REFERENCES
  5. Swarm Intelligence for Automatic Video Image Contrast Adjustment
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW
    4. 3. CONTRAST ADJUSTMENT
    5. 4. ARTIFICAL BEE COLONY ALGORITHM
    6. 5. TEST FUNCTIONS FOR OPTIMIZATION PROBLEMS
    7. 6. PROPOSED ALGORITHM FOR CONTRAST ADJUSTMENT
    8. 7. RESULTS AND DISCUSSION
    9. 8. CONCLUSION
    10. REFERENCES
  6. Understanding Retail Consumer Shopping Behaviour Using Rough Set Approach
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
    4. METHOD
    5. VARIABLE CONSISTENCY DOMINANCE-BASED ROUGH SET APPROACH
    6. RESULTS AND DISCUSSION
    7. CONCLUSION
    8. REFERENCES
    9. Concept of Approximations
    10. Reduct and Core
    11. Decision Rules
    12. Relative Strength of a Rule
  7. Gene Expression Analysis based on Ant Colony Optimisation Classification
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. ANT COLONY BASED CLASSIFICATION
    5. 4. ACO CLASSIFICATION OF GENE EXPRESSION DATA
    6. 5. CONCLUSION
    7. REFERENCES
  8. Accident Causation Factor Analysis of Traffic Accidents using Rough Relational Analysis
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. ROUGH SET THEORY
    4. 3. FRAMEWORK OF THE RESEARCH
    5. 4. NUMERICAL STUDY OF ACCIDENT FACTOR ANALYSIS
    6. 5. CONCLUSION
    7. REFERENCES
  9. A Disaster Management Specific Mobility Model for Flying Ad-hoc Network
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK, CHALLENGES AND MOTIVATION
    4. 3. MOBILITY MODEL OVERVIEW
    5. 4. EFFECTS OF PHYSICAL PHENOMENON ON MOBILITY MODEL
    6. 5. EXPERIMENTAL TEST PLATFORM
    7. 6. EXPERIMENTAL RESULTS
    8. 7. CONCLUSION AND FUTURE WORK
    9. REFERENCES
  10. Call For Articles