A method for learning users' preference on fuzzy values using neural networks and k-means clustering |
Yoon, Tae-Bok
(성균관대학교 컴퓨터공학과)
Na, Hyun-Jong (성균관대학교 컴퓨터공학과) Park, Doo-Kyung (성균관대학교 컴퓨터공학과) Lee, Jee-Hyong (성균관대학교 컴퓨터공학과) |
1 | K. P. Yoon, 'A probabilistic approach to rank complex fuzzy numbers', Fuzzy Sets and Systems, vol.80, pp.167-176, 1996 DOI ScienceOn |
2 | J. H. Lee, K. H. Lee, 'Comparison of fuzzy values on a continuous domain', Fuzzy Sets and Systems, vol.118, pp.419-428, 2001 DOI ScienceOn |
3 | 이지형, 이광형, '퍼지 비교 기반 퍼지 숫자의 등급과 방법', 정보과학논문지, vol. 28, no,12, pp.930-937, 2001 과학기술학회마을 |
4 | 이지형, 이광형, '퍼지집합을 이용한 퍼지숫자의 순위 결정 방법', 정보과학회논문지, vol.27, no.7, 2000 과학기술학회마을 |
5 | C. H. Cheng, 'A new approach for ranking fuzzy nubers by distance method', Fuzzy Sets and Systems, vol.95, pp.307-317, 1998 DOI ScienceOn |
6 | M. H. Dunham, Data Mining Introductory and Advanced Topics, Prentice Hall, pp.140-141, 2003 |
7 | V. Peneva, I. Popchev, 'Comparison of clusters from fuzzy numbers', Fuzzy Sets and Systems, vol.97, pp.75-81, 1998 DOI ScienceOn |
8 | J. Dunak, D. Wunsch, 'Fuzzy number neural net-works', Fuzzy Sets and Systems, vol.108, pp.49-58, 1999 DOI ScienceOn |
9 | S. Abe, D. Eng, Pattern Classification : Neuro-fuzzy methods and their comparison, Springer, pp.21-35, 2001 |
10 | D. W. Patterson, Artificial Neural Networks : theory and applications, Prentice Hall, pp.141-155, 1995 |
11 | J. H. Lee, K. H. Lee, 'How to determine which is larger: the utility function based methods for ranking fuzzy numbers', International Workshop on Advanced Intelligent Systems, Vol.1, pp.465-468, Taejon, Korea, Aug. 2000 |
12 | K. H. Lee, J. H. Lee, 'A method for ranking fuzzy numbers and its application to decision making', IEEE Trans. Fuzzy Systems, vol.7, pp.677-685, 1999 DOI ScienceOn |