[1]
T. Berners-Lee, J. Hendler, and O. Lassila. The semantic web. The Scientific American, 34-43(2001) , 284(5).
DOI: 10.1038/scientificamerican0501-34
Google Scholar
[2]
Baader, F., Horrocks, I., Sattler, U.: Description logics as ontology languages for the semantic web. Vol. 2605 of LNCS., Springer.
Google Scholar
[3]
N. Guarino and R. Poli. Formal ontology in conceptual analysis and knowledge representation. International Journal of Human and Computer Studies, 43(5/6): 625-640, (1995).
DOI: 10.1006/ijhc.1995.1066
Google Scholar
[4]
Baader F, Calvanese D, McGuinness D L, et al. The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge: Cambridge University Press, (2003).
Google Scholar
[5]
StraeciaU. A fuzzy description logic. in: Proc. ofthe15th Nat. Conf. on Artificial Intelligence (AAAI-98) [C], Madison, USA, 1998: 594-599.
Google Scholar
[6]
G. Stoilos, G. Stamou, V. Tzouvaras. A fuzzy description logic formultimedia knowledge representation. in: Proceedings of the 2005 International Workshop on Multimedia and the Semantic Web, Sorrento, Italy, (2005).
Google Scholar
[7]
G. Stoilos, G. Stamou, V Tzouvaras, Horrocks I. The fuzzy description logic f-SHIN. In: Paulo-Cesar GDC, Kathryn BL, Kenneth JL, Michael P, eds. Proc. of the Int'l Workshop on Uncertainty Reasoning for the Semantic Web. Aachen: CEUR-WS. org Publishers, 67-76 (2005).
DOI: 10.1007/978-3-540-89765-1_16
Google Scholar
[8]
G Stoilos, Stamou G, Tzouvaras V, Pan JZ, Handlingim precise knowledge with fuzzy description logic [A]. In: Proceeding of the 2006 International Workshop on Description Logics, (2006).
Google Scholar
[9]
Kang DaZhou, Xu BaoWen, LI YanHui, A fuzzy extension for SHOIQ based on comparisons between degrees of membership . Science China Information Science, Vol. 1-11(2013), p.8.
DOI: 10.1007/s11432-011-4423-4
Google Scholar
[10]
S. Hӧlldobler, H.P. Stӧrr, D.K. Tran. The fuzzy description logic ALCFH with hedge algebras as concept modifiers , Journal of Advanced Computational Intelligence and Intelligent Informatics, 294-305 (2003).
Google Scholar
[11]
Sánchez D, Tettamanzi G. Generalizing qualltification in fuzzy description logic . In: Proceedings of the 8th Fuzzy Days, Dortmund, Germany, (2004).
Google Scholar
[12]
Li YH, Xu BW, Lu JJ, Kang DZ. On computational complexity of the extended fuzzy description logic with numerical restriction. Journal of Software, 17(5): 968−975(2006).
DOI: 10.1360/jos170968
Google Scholar
[13]
StracciaU. Transforming fuzzy description logics into classical description logics. In: Proceedings of the 9th European Conference on Logics in Artificial Intelligence, 385-399 (2004).
DOI: 10.1007/978-3-540-30227-8_33
Google Scholar
[14]
F. Bobillo, M . elgado, Gmez-Romero J. A crisp representation for fuzzy SHOIN with fuzzy nominals and general concept inclusions. In: Proceedings of the 2nd International Workshop on Uncertainty Reasoning for the Semantic Web, Athens, (2006).
DOI: 10.1007/978-3-540-89765-1_11
Google Scholar
[15]
D. Y Li, YD. Han. Artificial Intelligence with uncertainty. Publisher : Chapman and Hall/ CRC, (2007).
Google Scholar
[16]
L. A. Zadeh. Fuzzy sets. Information and Control, 8(3): 338–353(1965).
Google Scholar