International Journal of Fuzzy Logic and Intelligent Systems

  • 제6권2호
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  • Pages.100-104
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  • 2006
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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A New Class of Similarity Measures for Fuzzy Sets

  • Omran Saleh (Mathematics Department, Faculty of Science, South Valley University) ;
  • Hassaballah M. (Mathematics Department, Faculty of Science, South Valley University)
  • 발행 : 2006.06.01
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초록

Fuzzy techniques can be applied in many domains of computer vision community. The definition of an adequate similarity measure for measuring the similarity between fuzzy sets is of great importance in the field of image processing, image retrieval and pattern recognition. This paper proposes a new class of the similarity measures. The properties, sensitivity and effectiveness of the proposed measures are investigated and tested on real data. Experimental results show that these similarity measures can provide a useful way for measuring the similarity between fuzzy sets.

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참고문헌

  1. H. Muller, N. Michoux, D. Bandon, A. Geissbuhler, A review of content-based image retrieval systems in medical applications-clinical benefits and future directions, Medical Informatics, vol. 73, pp. 1-23, 2004 https://doi.org/10.1016/j.ijmedinf.2003.11.024
  2. S. H. Kwon, A similarity measure of fuzzy sets, Journal of Fuzzy Logic and Intelligent Systems, vol. 11, No.3, pp. 270-274, Korea Fuzzy Logic and Intelligent Systems Society, 2001
  3. 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
  4. X. Wang, B.De Baets, E.E.Kerre, A comparative study of similarity measures, Fuzzy Sets and Systems, vol. 73, pp. 259-268, 1995 https://doi.org/10.1016/0165-0114(94)00308-T
  5. S. M. Chen, Measures of similarity between vague sets, Fuzzy Sets and Systems, vol. 74, pp. 217-223, 1995 https://doi.org/10.1016/0165-0114(94)00339-9
  6. W.J. Wang, New similarity measure on fuzzy sets and on elements, Fuzzy Sets and Systems, vol. 85, pp. 305-309, 1997 https://doi.org/10.1016/0165-0114(95)00365-7
  7. V. Di Gesu, V. Starovoito, Distance-based functions for image comparison, Pattern Recognition Letters, vol. 20, pp. 207-214,1999 https://doi.org/10.1016/S0167-8655(98)00115-9
  8. D. Van der Weken, M. Nachtegael , E.E. Kerre, An overview of similarity measures for images, Proceeding of ICASSP 2002 (IEEE International Conference on Acoustics, Speech and Signal processing), USA, pp.3317-3320,2002
  9. D. Van der Weken, M. Nachtegael , E.E. Kerre, Using similarity measures and homogeneity for the comparison of images, Image and Vision Computing, vol. 22, pp .695-702, 2004 https://doi.org/10.1016/j.imavis.2004.03.002
  10. W. Wang, X. Xin, Distance measure between intuitionistic fuzzy sets, Pattern Recognition Letters, vol. 26, pp. 2063-2069, 2005 https://doi.org/10.1016/j.patrec.2005.03.018
  11. C. Zhang, H. Fu, Similarity measures on three kinds of fuzzy sets, Pattern Recognition Letters, vol. 26, 2006, (article in press)
  12. L. A. Zadeh, Fuzzy sets, Inform. Control, vol. 8, pp. 338-353, 1965 https://doi.org/10.1016/S0019-9958(65)90241-X

피인용 문헌

  1. Study of Similarity Measures with Linear Discriminant Analysis for Face Recognition vol.08, pp.09, 2015, https://doi.org/10.4236/jsea.2015.89046