ÆÛÁö ÁýÇÕ, Ãøµµ ¹× ÀûºÐ

copyright¨Ï ±Ç¼øÇÐ(ÏíâíùÊ, Soon H. Kwon)


1. ¼­·Ð 2. ÆÛÁö ÁýÇÕ 3. ÆÛÁö ¿¬»ê 4. ÆÛÁö °ü°è 5. ÆÛÁö ³í¸®
6. ÆÛÁö Á¦¾î 7. ÆÛÁö Ŭ·¯½ºÅ͸µ 8. ÆÛÁö ¸ðµ¨ 9. ÆÛÁö ÃøµµÀÇ ±âÃÊ 10. ÆÛÁö Ãøµµ
11. ÆÛÁö ÀûºÐ 12. ÀÀ¿ë: ÁÖ°üÀû Æò°¡ 13. ÀÀ¿ë: ½Ã°è¿­ ¸ðµ¨ 14. °á·Ð 15. Âü°í¹®Çå


15. Âü°í ¹®Çå

1. L. A. Zadeh, ¡°Fuzzy Sets,¡± Information and Control 8, pp. 338-353, 1965.

2. ηå¯Ô³Üý, ¡°ÆÛÁöö´ÓøÀÇ ÆÛÁöîÝÝÂ,¡± ͪö´í»ÔÑð¤åÙùÊüåÒÕÙþó¢ 8, 218-226, 1972.

3. ÀÌ ±¤Çü, ¿À ±æ·Ï, ÆÛÁöÀÌ·Ð ¹× ÀÀ¿ë I/II, È«¸ª°úÇÐÃâÆÇ»ç, 1991.

4. M. Mizumoto, ¡°Pictorial representation of fuzzy connectives, Part I:cases of t-norms, t-conorms and averaging operators,¡± Fuzzy Sets and Systems, 31, pp.217-242, 1989.

5. M. Mizumoto, ¡°Pictorial representation of fuzzy connectives, Part II:cases of compensatory operators and self-dual operators,¡± Fuzzy Sets and Systems, 32, pp.45-79, 1989.

6. A. Baldwin, ¡°A New Approach to Approximate Reasoning using a Fuzzy Logic,¡± Fuzzy Sets and Systems, 2, pp.309-325, 1979.

7. Y. Tsukamoto, ¡°An Approach to Fuzzy Reasoning Method,¡± In Advances in Fuzzy Set Theory and Applications, eds., M.M.Gupta et. al, North-Holland, Amsterdam, 1979.

8. D.Dubois and H. Prade, ¡°Outline of Fuzzy Set Theory : An Introduction,¡± Advances in Fuzzy Set Theory and Applications, eds., M.M.Gupta et. al, North-Holland, Amsterdam, pp.27-48, 1979.

9. T. Murofushi, M. Sugeno and M. Machida, ¡°Non-monotonic fuzzy measures and the Choquet integral,¡±Fuzzy Sets and Systems, 64, pp.73-86, 1994.

10. L.A.Zadeh, ¡°Fuzzy sets as a basis for a theory of possibility,¡± Fuzzy Sets and Systems 1, pp.3-28,1978.

11. D.Dubois and H.Prade, Fuzzy Sets and Systems : Theory and Applications, Academic Press, 1980.

12. A.P.Dempster, ¡°Upper and lower probabilities induced by a multi-valued mapping,¡± Ann. Math. Stat. 38, pp.325-339, 1967.

13. G.Shafer, A Mathematical Theory of Evidence, Princeton Univ., 1976.

14. G.Banon, ¡°Distinction between several subsets of fuzzy measures,¡± Fuzzy Sets and Systems 5, pp.291-305, 1981.

15. K.Ishii and M.Sugeno, ¡°A model of human evaluation process using fuzzy measure,¡± Int. J. Man-Machine Studies 22, pp.19-38, 1985.

16. K.Tanaka and M.Sugeno, ¡°A study on subjective evaluations of printed color images,¡± Int. J. Approximate Reasoning 5, pp.213-222, 1991.

17. M. Sugeno and S. H. Kwon, ¡°A clusterwise regression-type model for subjective evaluation,¡± J. of Japan Society for Fuzzy Theory and Systems, April, pp.291-310, 1995.

18. M. Sugeno and S. H. Kwon, ¡°A new approach to time series modeling with fuzzy measures and the Choquet integral,¡± FUZZ-IEEE/IFES, March, pp.799-804, 1995.

19. I.Gilboa, ¡°Expected utility with purely subjective non-additive probabilities,¡± J. Math. Econom. 16, pp.65-88, 1987.

20. P.Wakker, ¡±Continuous subjective expected utility with non-additive probabilities,¡± J. Math. Econom. 18, pp.1-27, 1989.

21. A. N. Kolmogorov, Foundations of the theory of probability, Chelsa, 1950.

22. L. J. Savage, The Foundation of Statistics, John Wiley & Sons, New York, 1954.

23. B. G. Buchanan and E. H. Shortliffe, Eds., Rule-Based Expert Systems, Addison-Wesley, 1984.

24. G.Choquet, ¡°Theory of capacities,¡± Ann. Inst. Fourier 5, pp.131-295, 1953.

25. D.Schmeidler, ¡°Subjective probability and expected utility without additivity,¡± Econometrica 57, pp.571-587, 1989.

26. T.Murofushi and M.Sugeno, ¡°An interpretation of fuzzy measures and the Choquet integral as an integral with respect to fuzzy measure,¡± Fuzzy Sets and Systems 29, pp.201-227, 1989.

27. G. J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty, and Information, Prentice-Hall, London, 1988.




References for Fuzzy Clustering

Soon H. Kwon, ¡°Threshold selection based on cluster analysis,¡± Pattern Recognition Letters, Vol. 25, No. 9, pp. 1045-1050, 2004.

  Tested image 1

  Tested image 2

  Tested image 3

Soon H. Kwon, ¡°Cluster validity index for fuzzy clustering,¡± Electronics Letters, vol. 34, No. 22, pp.2176-2177, 1998.

J. C. Dunn, ¡°Indices of partition fuzziness and the detection of clusters in large data sets,¡± in Fuzzy Automata and Decision Processes, M. M. Gupta, Ed. Elsevier, New York, 1976.

X. L. Xie and G. A. Beni, ¡°Validity measure for fuzzy clustering,¡± IEEE Trans. Pattern and Machine Intell., vol. 3, no. 8, pp.841-846, 1991.

Y. Fukuyama and M. Sugeno, ¡°A new method of choosing the number of clusters for the fuzzy c-means method,¡± in Proc. 5th Fuzzy Syst. Symp.,1989, pp. 247-250 (in Japanese).

N. K. Pal and J. C. Bezdek, ¡°On Cluster Validity for the Fuzzy c-Means Model,¡± IEEE Trans. Fuzzy Syst., vol.3, no. 3, pp.370-379, 1995.

J. C. Bezdek and N. K. Pal, ¡°Some New Indexes of Cluster Validity,¡± IEEE Trans. Systems, Man, and Cyber.-Part B, vol.28, no. 3, pp.301-315, 1998.

J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, New York, 1981.

R. Krishnapuram and J. M. Keller, ¡°A Possibifmainic Approach to Clustering,¡± IEEE Trans. Fuzzy Syst., vol.1, no. 2, pp.98-110, 1993.

N. R. Pal, K. Pal and J. C. Bezdek, ¡°A Mixed c-Means Clustering Model,¡± in Proc. FUZZ-IEEE¡¯97, 1997, pp. 11-21.

¢º 1. ¼­ ·Ð: ÆÛÁö ÀÌ·ÐÀÇ Åº»ý°ú ¹ßÀü