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Information Management by Data Quantification with FuzzyEntropy and Similarity Measure

원문정보

초록

영어
Data management with fuzzy entropy and similarity measure were discussed and verified by applying reliable data selection problem. Calculation of certainty or uncertainty for data, fuzzy entropy and similarity measure are designed and proved. Proposed fuzzy entropy and similarity are considered as dissimilarity measure and similarity measure, and the relation between two measures are explained through graphical illustration.Obtained measures are useful to the application of decision theory and mutual information analysis problem. Extension of data quantification results based on the proposed measures are applicable to the decision making and fuzzy game theory.

목차

Abstract
 1. Introduction
 2. Fuzzy Entropy and Similarity Measure
  2.1 Illustrations of Fuzzy Entropy and Similarity measure
  2.2 Fuzzy Entropy and Similarity Measure Application
 3. Applications of Fuzzy Entropy and Similarity Measure to Management Problems
  3.1 Decision Theory
  3.2 Characteristics of Relative Information Measure
  3.3 Fuzzy Coaliation in Game Theory
 4. Conclusions
 References

저자

  • Chua Hong Siang [ School of Engineering, Computing, and Science Swinburne University of Technology ]
  • Sanghyuk Lee [ Dept. of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University ] 교신저자

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국융합학회논문지 [Journal of the Korea Convergence Society]
    • 간기
      월간
    • pISSN
      2233-4890
    • 수록기간
      2010~2022
    • 십진분류
      KDC 530 DDC 620