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References
Baldwin, J.F. (1983). A fuzzy relational inference language for expert systems. Proceedings of 13th IEEE Int. Symp. on Multi-Valued Logic, Kyoto, Japan, 416–423.
Bookstein, A. (1983). Fuzzy requests: an approach to weighted Boolean searches.J. Amer, Soc. Information Sci., 31, 240–247.
Bordogna, G., Carrara, P., and Pasi, G. (1992). Extending Boolean information retrieval: A fuzzy model based on linguistic variables. Proceedings of the IEEE International Conference on Fuzzy Systems, San Diego, CA 769–776.
Bosc, P., Galibourg, M., and Hamin, G. (1988). Fuzzy querying with SQL: extensions and implementation aspects.Fuzzy Sets and Systems, 28(3), 333–349.
Bosc, P. and Pivert O. (1992). Some approaches for relational databases flexible querying.Journal of Intelligent Information Systems, 1 (3/4), 323–354.
Buckles, B.P. and Petry, F.E. (1982). A fuzzy representation of data for relational databases.Fuzzy Sets and Systems, 5, 213–226.
Buckles, B.P. and Petry, F.E. (1991). Towards a fuzzy object-oriented data model. Proceedings of NAFIPS'91, North American Fuzzy Info. Proc. Society, 73–77.
Cross, V.V. (1993). An analysis of fuzzy set aggregators and compatibility measures. Ph.D. Thesis, Wright State University.
DiCesare, F. and Sahnoun, Z. (1990). Linguistic summarization of fuzzy data.Information Services, 52, 141–152.
Dubois, D. and Prade, H. (1988). On incomplete conjunctive information.Computers and Mathematics with Applications, 15(10, 797–810.F676
Dubois, D. and Prade, H. (1989). Processing fuzzy temporal knowledge.IEEE Transactions of Systems, Man and Cybernetics, 19(4), 729–744.
Dutta, S. (1990). Approximate reasoning with temporal and spatial concepts. Ph.D. Thesis, University of California, Berkeley.
Ichikawa, T. and Hirakawa, M. (1986). ARES: a relational database with the capability of performing flexible interpretation of queries.IEEE Trans. Software Engineering, 12(5), 624–634.
Kacprzyk, J. and Ziolkowski, A. (1986). Database queries with fuzzy linguistic quantifiers,IEEE Trans. Systems, Man and Cybernetics, 16, 474–479.
Kamel, M.S., Hadfield, B., and Ismail, M. (1990). Fuzzy query processing using clustering techniques.Information Processing and Management, 26(2), 279–293.
Kerre, E.E., Zenner, R.B.R.C. and DeCaluwe, R.M.M. (1986). The use of fuzzy set theory in information retrieval and databases.J. Amer. Soc. Information Sci., 37, 341–345.
Ng, K.-C. and Abramson, B. (1990). Uncertainty management in expert systems.IEEE Expert, 18(5), 29–48.
Kraft, D.H. and Buell, D.A. (1983). Fuzzy sets and generalized Boolean retrieval systems.Int. J. Man-Machine Studies, 19, 45–56.
Kunii, T.L. (1976). Dataplan: an interface generator for database semantics.Information Sciences, 10, 279–298.
Prade, H. (1984). Lipski's approach to incomplete information databases restated and generalized in the setting of Zadeh's possibility theory.Information Sciences, 9(1) 27–42.
Prade, H. and Testemale, C., (1984). Generalizing database relational algebra for the treatment of incomplete/uncertain information and vague queries.Information Sciences, 34, 115–143.
Prade, H. and Negoita, C.V. (eds.) (1986).Fuzzy Logic in Knowledge Engineering. Verlag TUV Rheinland, Koln.
Prade, H. and Testemale, C. (1987a). Fuzzy relational databases: representational issues and reduction using similarity measures.J. Amer. Soc. Information Sci., 38, 118–126.
Prade, H. and Testemale, C. (1987b). Application of possibility and necessity measures to documentary information retrieval. In: Bouchon, B. and Yager, R.R. (Eds.), Uncertainty in Knowledge-Based Systems, Springer Verlag, 265–274.
Prade, H. and Testemale, C. (1989). The possible approach to handling of imprecision in database systems.IEEE Database Engineering Bulletin—Special Issue on Imprecision in Databases, 12(2), 4–10.
Radecki, T. (1983). Generalized Boolean methods for information retrieval.Int. J. Man-Machine Studies, 19, 45–56.
Raju, K.V.S. and Majumdar, A.K. (1988). Fuzzy relational dependencies and lossless join decomposition of fuzzy relational database systems.ACM Trans, on Database Systems, 13(2), 129–166.
Rundensteiner, E.A. and Bic, L. (1992). Evaluating aggregates in possibilistic relational databases.Data and Knowledge Engineering, 7, 239–267.
Shenoi, S., Melton, A., and Fan, L.T., (1990a). An equivalence classes model of fuzzy relational databases.Fuzzy Sets and Systems, 38(2), 153–170.
Shenoi, S. and Melton, A. (1990b). An extended version of the fuzzy relational database model.Information Sciences, 52(1), 35–52.
Sudkamp, T.A. and Cross, V.V. (1990). Support generation in fuzzy relational databases. Proceedings of NAFIPS'91, North American Fuzzy Info. Proc. Society, 265–268.
Tahani, V. (1977). A conceptual framework for fuzzy query processing—a step toward very intelligent database systems.Information Processing and Management, 13, 289–303.
Tripathy, R.C. and Sexena, P.C. (1990). Multivalued dependencies in fuzzy relational databases,Fuzzy Sets and Systems, 38(3), 267–279.
Umano, M. (1982). FREEDOM-0: a fuzzy database system. In Gupta, M.M. and Sanchez, E., (Eds.),Fuzzy Information and Decision Processes. North Holland, Amsterdam, 339–349.
Wang, F., Hall, G.B. and Subaryono (1990). Fuzzy information representation and processing in conventional GIS software: database design and application.Int. J. of Geographical Information Systems, 4(3), 261–283.
Wong, M.H. and Leung, K.S. (1990). A fuzzy database-query language.Information Systems, 15(5), 583–590.
Yager, R.R. (1980). A logical on-line bibliographic searcher: an application of fuzzy sets.IEEE Trans. Systems, Man and Cybernetics, 10(1), 51–53.
Zadeh, L.A. (1965). Fuzzy sets.Information and Control, 3, 177–200.
Zadeh, L.A. (1976a). PRUF: A meaningful representation language for natural language.Int. J. Man-Machine Studies, 10, 395–460.
Zadeh, L.A. (1976b). The concept of a linguistic variable and its application to approximate reasoning.Information Sciences, 8, Parts I-II: 199–249 and 301–357,9, Part III: 43–80.
Zadeh, L.A. (1978). Fuzzy sets as a basis for a theory of possibility.Fuzzy Sets and Systems, 1, 3–78.
Zadeh, L.A. (1983). The role or fuzzy logic in the management of uncertainty in expert systems.Fuzzy Sets and Systems, 11, 199–227.
Zadeh, L. (1989). Knowledge representation in fuzzy logic.IEEE Transactions on Knowledge and Data Engineering, 1(1), 89–100.
Zemankova, M. and Kandel, A. (1984).Fuzzy Relational Data Bases—a Key to Expert Systems. Verlag TUV Rheinland, Koln. (Japanese translation by M. Mukaidono, Keigaku Publishing Co., Tokyo, 1987.)
Zemankova, M. (1989). FILIP: An intelligent information system with learning capabilities.Information Systems, 14(6), 473–486.
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We would like to thank all of the authors who submitted papers to this special issue. Due to space and time constraints, some of them could not be included in this issue, but will appear in a future issue of the Journal of Intelligent Information Systems.
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Zemankova, M., Kacprzyk, J. Itroduction: The roles of fuzzy logic and management of uncertainty in building intelligent information systems. J Intell Inf Syst 2, 311–317 (1993). https://doi.org/10.1007/BF00961658
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DOI: https://doi.org/10.1007/BF00961658