You are previewing International Journal of Fuzzy System Applications (IJFSA) Volume 5, Issue 2.
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International Journal of Fuzzy System Applications (IJFSA) Volume 5, Issue 2

Book Description

The International Journal of Fuzzy System Applications (IJFSA) is a comprehensive reference journal, dedicated to presenting the most innovative systematic and practical facets of fuzzy technologies to students, scholars, and academicians, as well as practitioners, engineers and professionals. Focusing on fuzzy decision support, expert, reasoning and rule-based systems, IJFSA presents up-to-date theoretical views on fuzzy computing, while highlighting empirical approaches useful to real-world utilization. Successes, challenges, and assorted strategies for best usage of fuzzy system applications are explained and discussed.

This issue contains the following articles:

  • Characterization of Fuzzy δg*-Closed Sets in Fuzzy Topological Spaces
  • An Application of Fuzzy Clustering to Customer Portfolio Analysis in Automotive Industry
  • Fuzzy Rough Support Vector Machine for Data Classification
  • No-FSQL: A Graph-based Fuzzy NoSQL Querying Model
  • Quality Credit Supervision Research Based on Minimum Dataset: With the Licensed Enterprises in Kunming of China for Case
  • Fuzzy E-Bayesian and Hierarchical Bayesian Estimations on the Kumaraswamy Distribution Using Censoring Data
  • Dempster Shafer Structure-Fuzzy Number Based Uncertainty Modeling in Human Health Risk Assessment
  • Cloud Service Evaluation and Selection Using Fuzzy Hybrid MCDM Approach in Marketplace

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Characterization of Fuzzy δg*-Closed Sets in Fuzzy Topological Spaces
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PRELIMINARIES
    4. 3. MAIN RESULTS FOR -CLOSED SETS
    5. 4. SOME PROPERTIES OF INTUITIONISTIC FUZZY -CLUSTER AND -INTERIOR
    6. COROLLARY
    7. ACKNOWLEDGMENT
    8. REFERENCES
  5. An Application of Fuzzy Clustering to Customer Portfolio Analysis in Automotive Industry
    1. ABSTRACT
    2. 1. MOTIVATION AND BACKGROUND
    3. 2. METHODOLOGY
    4. 3. EMPIRICAL RESULTS
    5. 4. MANAGERIAL IMPLICATIONS
    6. 5. CONCLUSION AND FUTURE WORK
    7. REFERENCES
  6. Fuzzy Rough Support Vector Machine for Data Classification
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SUPPORT VECTOR MACHINE
    4. 3. FUZZY ROUGH SETS
    5. 4. FUZZY ROUGH SUPPORT VECTOR MACHINE
    6. 5. EXPERIMENTAL RESULTS
    7. 6. CONCLUSION
    8. REFERENCES
  7. No-FSQL:
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. HOW MODELING FUZZY DATA WITH FNOSQL MODEL?
    5. HOW QUERYING FUZZY DATABASES WITH FNOSQL?
    6. CONCLUSION
    7. REFERENCES
  8. Quality Credit Supervision Research Based on Minimum Dataset:
    1. ABSTRACT
    2. INTRODUCTION
    3. RELEVANT CONCEPTS
    4. THE NECESSITY OF ENTERPRISE QUALITY CREDIT MANAGEMENT RESEARCH ON MDS
    5. CONFIRM THE MDS CANDIDATE FACTORS OF KUNMING LICENSED ENTERPRISE QUALITY CREDIT SUPERVISION
    6. THE ESTABLISHMENT OF KUNMING LICENSED ENTERPRISE QUALITY CREDIT SUPERVISION MDS
    7. CONCLUSION AND SUGGESTIONS
    8. REFERENCES
    9. ENDNOTES
  9. Fuzzy E-Bayesian and Hierarchical Bayesian Estimations on the Kumaraswamy Distribution Using Censoring Data
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. FUZZY BAYES POINT ESTIMATOR
    4. 3. FUZZY E-BAYESIAN ESTIMATION
    5. 4. FUZZY HIERARCHICAL BAYESIAN ESTIMATION
    6. 5. COMPUTATIONAL PROCEDURES
    7. 6. EXAMPLE
    8. 7. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
  10. Dempster Shafer Structure-Fuzzy Number Based Uncertainty Modeling in Human Health Risk Assessment
    1. ABSTRACT
    2. INTRODUCTION
    3. BASIC CONCEPT OF FUZZY SET THEORY
    4. BASIC CONCEPTS OF DEMPSTER -SHAFER THEORY OF EVIDENCE
    5. SAMPLING TECHNIQUE FOR POSSIBILITY THEORY
    6. FOCAL ELEMENTS AS FUZZY NUMBERS
    7. METHODS TO COMBINE DEMPSTER-SHAFER STRUCTURES AND FUZZY NUMBERS
    8. CASE STUDY
    9. CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
  11. Cloud Service Evaluation and Selection Using Fuzzy Hybrid MCDM Approach in Marketplace
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. CLOUDSELECT FRAMEWORK
    5. FUZZY ANP
    6. FUZZY TOPSIS
    7. FUZZY ELECTRE
    8. APPLICATION OF THE PROPOSED HYBRID MODEL
    9. CONCLUSION
    10. REFERENCES
  12. Call For Articles