Representation of weakly structured imprecise data for fuzzy querying
Tài liệu tham khảo
P. Bosc, L. Lietard, O. Pivert, Soft querying, a new feature for database management system, in: Proc. DEXA’94 (Database and EXpert system Application), Lecture Notes in Computer Science, Vol. 856, Springer, Berlin, 1994, pp. 631–640.
P. Buche, O. Haemmerlé, Towards a unified querying system of both structured and semi-structured imprecise data using fuzzy views, in: Proc. 8th Internat. Conf. on Conceptual Structures, Lecture Notes in Artificial Intelligence, Vol. 1867, Darmstadt, Germany, August, Springer, Berlin, 2000, pp. 207–220.
T.H. Cao, Foundations of order-sorted fuzzy set logic programming in predicate logic and conceptual graphs, Ph.D. Thesis, University of Queensland, Australia, 1999.
M. Chein, M.L. Mugnier, G. Simonet, Nested graphs: a graph-based knowledge representation model with fol semantics, in: Proc. 6th Internat. Conf. on Principles of Knowledge Representation and Reasoning (KR’98), Trento, Italy, June, Morgan Kaufmann, Los Altos, CA, 1998, pp. 524–524.
Dubois, 1988
Dubois, 1995, Fuzziness in database management systems, 42
Dubois, 1991, Vagueness, typicality and uncertainty in class hierarchies, Internat. J. Intell. Systems, 6, 167, 10.1002/int.4550060205
Haemmerlé, 1999, CoGITo v3.3, Tech. Sci. Inform., 18, 933
D.S. Jung, F.W. Bodyfelt, M.A. Daeschel, Influence of fat and emulsifiers on the efficacy of nisin in inhibiting listeria monocytogenes in fluid milk, J. Dairy Sci. (75) (1992) 387–393.
S.K. Morton, Conceptual graphs and fuzziness in artificial intelligence, Ph.D. Thesis, University of Bristol, 1987.
M.L. Mugnier, M. Chein, Polynomial algorithms for projection and matching, in: Proc. 7th Annual Workshop on Conceptual Structures, Lecture Notes in Artificial Intelligence, Vol. 754, Las Cruces, NM, 1992, pp. 239–251.
M.L. Mugnier, M. Chein, Characterization and algorithmic recognition of canonical conceptual graphs, in: Proc. 1st Internat. Conf. on Conceptual Structures, Lecture Notes in Artificial Intelligence, Vol. 699, Quebec City, Canada, Springer, Berlin, 1993, pp. 294–311.
Mugnier, 1996, Représenter des connaissances et raisonner avec des graphes, Rev. Intell. Artif., 10, 7
Prade, 1984, Lipski's approach to incomplete information data bases restated and generalized in the setting of zadeh's possibility theory, Inform. Systems, 9, 27, 10.1016/0306-4379(84)90014-0
F. Sebastiani, A probabilistic terminological logic for modelling information retrieval, in: Proc. 17th Ann. Internat. ACM-SIGIR Conf. on Research and Development in Information Retrieval, Dublin, Ireland, July, ACM/Springer, Berlin, 1994, pp. 122–130.
Sowa, 1984
V. Wuwongse, M. Manzano, Fuzzy conceptual graphs, in: Proc. 1st Internat. Conf. on Conceptual Structures, Lecture Notes in Artificial Intelligence, Vol. 699, Quebec City, Canada, August, Springer, Berlin, 1993, pp. 430–449.
Zadeh, 1965, Fuzzy sets, Inform. Control, 8, 338, 10.1016/S0019-9958(65)90241-X
Zadeh, 1978, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3, 10.1016/0165-0114(78)90029-5
Zwietering, 1992, A decision support system for prediction of the microbial spoilage in foods, J. Food Prot., 55, 973, 10.4315/0362-028X-55.12.973