Depicting the associating degrees between two concepts and their relationships are major works for constructing a multi-relationship fuzzy concept network. This paper indicates some drawbacks of the existing methods of calculating associating degrees between concepts, and proposes a new method for overcoming these drawbacks. We also use some examples to compare the proposed method with the existing methods for calculating the associating degrees between two concepts in a multi-relationship fuzzy concept networks.
References
[1]
Salton, G. and Mcgill, M.J. (1983) Introduction to Modern Information Retrieval. McGraw-Hill Education, New York.
[2]
Bezdek, J.C., Biswas, G. and Huang, L.Y. (1986) Transitive Closures of Fuzzy Thesauri for Information-Retrieval System. International Journal of Man-Machine Studies, 25, 343-356. https://doi.org/10.1016/S0020-7373(86)80065-7
[3]
Bhatia, S.K. and Deogun, J.S. (1998) Conceptual Clustering on Information Retrieval. IEEE Transactions on Systems, Man, and Cybernetics—Part B, Cybernetics, 28, 427-435. https://doi.org/10.1109/3477.678640
[4]
Chang, C.S. and Chen, A.L.P. (1998) Supporting Conceptual and Neighborhood Quiries on the World Wide Web. IEEE Transactions on Systems, Man, and Cybernetics—Part B, Cybernetics, 28, 300-308. https://doi.org/10.1109/5326.669578
[5]
Chen, C.L.P. and Lu, Y. (1997) FUZZY: A Fuzzy-Based Concept Information System That Integrates Human Categorization and Numerical Clustering. IEEE Transactions on Systems, Man, and Cybernetics—Part B, Cybernetics, 27, 79-94. https://doi.org/10.1109/3477.552187
[6]
Chen, S.M. and Horng, Y.J. (1999) Fuzzy Query Processing for Document Retrieval Based on Extended Fuzzy Concept Networks. IEEE Transactions on Systems, Man, and Cybernetics—Part B, Cybernetics, 29, 96-104.
[7]
Chen, S.M., Horng, Y.J. and Lee, C.H. (2000) Fuzzy Information Retrieval Method Based on Multi-Relationship Fuzzy Concept Networks. Proceedings of the 2000 International Computer Symposium: Workshop on Artificial Intelligence, Chiayi, 6-8 December 2000, 79-86.
[8]
Chen, S.M., and Wang, J.Y. (1995) Document Retrieval Using Knowledge-Based Fuzzy Information Retrieval Techniques. IEEE Transactions on Systems, Man, and Cybernetics, 25, 793-803.
Kracker, M. (1992) A Fuzzy Concept Network Model and Its Applications. Proceedings of the First IEEE International Conference on Fuzzy Systems, San Diego, 8-12 March 1992, 761-768. https://doi.org/10.1109/FUZZY.1992.258752
[11]
Liang, T. and Chang, C.C., (1999) Chinese Textual Retrieval Based on Fuzzy Concept Networks. Proceedings of National Computer Symposium, Tamsui, 20-22 December1999, 61-67.
[12]
Lin, C.C., Tseng, S.Y. and Chen, P.M (1999) A Fuzzy Document Retrieval System Based on Concept Networks and Cluster Analysis. Soochow Journal of Economics and Business, 25, 39-60.
[13]
Lucarella, D. and Morara, R. (1991) FIRST: Fuzzy Information Retrieval System. Journal of Information Science, 17, 81-91. https://doi.org/10.1177/016555159101700202
[14]
Zadeh, L.A. (1965) Fuzzy Sets. Information and Control, 8, 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
[15]
Kim, K.J. and Cho, S.B. (2001) A Personalized Web Search Engine Using Fuzzy Concept Network with Link Structure. Proceedings of the Joint 9th IFSA Congress and 20th NAFIPS International Conference, Vancouver, 25-28 July 2001, 81-86.
