Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Reliable Data Selection using Similarity Measure

유사측도를 이용한 신뢰성 있는 데이터의 추출

  • 류수록 (경북대학교 산업응용수학과) ;
  • 이상혁 (창원대학교 메카트로닉스공학부)
  • Published : 2008.04.25
Download PDF
⟨ Previous Next ⟩

Abstract

For data analysis, fuzzy entropy is introduced as the measure of fuzziness, similarity measure is also constructed to represent similarity between data. Similarity measure between fuzzy membership functions is constructed through distance measure, and the proposed similarity measure are proved. Application of proposed similarity measure to the example of reliable data selection is also carried out. Application results are compared with the previous results that is obtained through fuzzy entropy and statistical knowledge.

데이터 분석을 위하여 데이터의 불확실성에 대한 측도로서 퍼지 집합에 대한 엔트로피를 소개하였고, 또한 데이터간의 유사도를 나타내는 유사측도를 구성하였다. 퍼지 소속 함수간의 유사측도는 거리측도를 이용하여 구성하였고, 제안한 유사측도를 증명을 통하여 확인하였다. 제안한 유사측도의 유용성을 확인하기 위하여 신뢰성 있는 데이터추출 예제에 적용하였다. 적용결과를 퍼지 엔트로피와 통계적 지식을 통하여 얻어진 이전의 결과와 비교하였다.

Keywords

References

  1. X. Liu, "Entropy, distance measure and similarity measure of fuzzy sets and their relations," Fuzzy Sets and Systems, Vol. 52, pp. 305-318, 1992 https://doi.org/10.1016/0165-0114(92)90239-Z
  2. J. L. Fan, W. X. Xie, "Distance measure and induced fuzzy entropy," Fuzzy Set and Systems, Vol. 104, pp. 305-314, 1999 https://doi.org/10.1016/S0165-0114(99)80011-6
  3. J. L. Fan, Y. L. Ma, and W. X. Xie, "On some properties of distance measures," Fuzzy Set and Systems, Vol. 117, pp. 355-361, 2001 https://doi.org/10.1016/S0165-0114(98)00387-X
  4. S.H. Lee, S.P. Cheon, and Jinho Kim, "Measure of certainty with fuzzy entropy function", LNAI, Vol. 4114, pp. 134-139, 2006
  5. S.H. Lee, Y.T. Kim, S.P. Cheon, and Sungshin Kim, "Reliable Data Selection with Fuzzy Entropy", LNAI, Vol. 3613, pp. 203-212, 2005
  6. S.H. Lee, J.M. Kim, and Y.K. Choi, "Similarity measure construction using fuzzy entropy and distance measure", LNAI Vol.4114, pp. 952-958, 2006
  7. S.M. Chen, "New methods for subjective mental workload assessment and fuzzy risk analysis", Cybern. Syst. : Int. J., Vol. 27, No. 5, pp. 449-472, 1996 https://doi.org/10.1080/019697296126417
  8. C.H. Hsieh and S.H. Chen, "Similarity of generalized fuzzy numbers with graded mean integration representation," in Proc. 8th Int. Fuzzy Systems Association World Congr., Vol 2, pp. 551-555, 1999
  9. H. S. Lee, "An optimal aggregation method for fuzzy opinions of group decision," Proc. 1999 IEEE Int. Conf. Systems, Man, Cybernetics, Vol. 3, pp. 314-319, 1999
  10. S.J. Chen and S.M. Chen, "Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers," IEEE Trans. on Fuzzy Systems, Vol. 11, No. 1, pp. 45-56, 2003 https://doi.org/10.1109/TFUZZ.2002.806316
  11. P. Subasic and K. Hirota, "Similarity rules and gradual rules for analogical and interpolative reasoning with imprecise data," Fuzzy Sets and Systems, Vol. 96, No. 1, pp. 53-75, 1998 https://doi.org/10.1016/S0165-0114(96)00288-6
  12. S.H. Lee, "Comparison Study for Similarities based on Distance Measure and Fuzzy Number", Journal of Fuzzy Logic and Intelligent Systems, Vol.17, No. 1, pp. 1-6, 2007 https://doi.org/10.5391/JKIIS.2007.17.1.001