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논문검색

Information Management by Data Quantification with FuzzyEntropy and Similarity Measure

원문정보

Chua Hong Siang, Sanghyuk Lee

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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

저자정보

  • 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

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