권순학(Soon H. Kwon, Poet) : 융합기술기반 지능시스템 연구그룹(Convergence Technology-based Intelligent Systems Research Group)

퍼지 집합, 측도 및 적분

1. 서론

2. 퍼지 집합

3. 퍼지 연산

4. 퍼지 관계

5. 퍼지 논리

6. 퍼지 제어

7. 퍼지 클러스터링

8. 퍼지 모델

9. 퍼지 측도의 기초

10. 퍼지 측도

11. 퍼지 적분

12. 응용: 주관적 평가

13. 응용: 시계열 모델

14. 결론

15. 참고문헌

7. 퍼지 클러스터링 : References on Fuzzy Clustering & Cluster Validity Indexes

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A1. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, New York, 1981.
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A2. R. Krishnappuram and J. M. Keller, “A Possibilistic Approach to Clustering,” IEEE Trans. Fuzzy Syst., vol.1, no. 2, pp.98-110, 1993.
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A3. N. R. Pal, K. Pal and J. C. Bezdek, “A Mixed c-Means Clustering Model,” in Proc. FUZZ-IEEE’97, 1997, pp. 11-21.
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B1. Soon H. Kwon, “Cluster validity index for fuzzy clustering,” Electronics Letters, vol. 34, No. 22, pp.2176-2177, 1998.
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B2. 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.
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B3. 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.
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B4. 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).
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B5. 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.
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B6. 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.

▶ 8. 퍼지 모델