Abstract
Recently, computers that can handle imprecise information are badly needed. As an approach, fuzzy database systems which allow imprecise data have been presented. In these systems, imprecise data are represented by means of membership funtions. However, imprecise information are usually subjective, and differ among individuals. Since this subjectivity has not been considered, the users could not use the imprecise data stored in the conventional systems effectively. In this paper, we present a fuzzy database system which interprets each user’s subjectivity. This system enables users to store subjective data, and each user can refer to the data in the form of his/her subjectivity. Moreover, our system allows the use of non-numerical attributes, consequently enlarging the area of application.
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References
M. Umano. Freedom-O: A Fuzzy Database System. In M.M. Gupta and E. Sanchez, editors, Fuzzy Information and Decision Processes, pages 339-347, North-Holland, 1982.
M. Zemankova and A. Kandel. Implementing Imprecision in Information Systems. Information Science, 37:107–141, 1985.
M. Zemankova. FILIP:A fuzzy intelligent information system with learning capabilities. Information Systems, 14(6):473–486, 1989.
L.A. Zadeh. Fuzzy sets. Information and Control, 8:338–353, 1965.
I.B. Turksen. Measurement of membership functions and their acquisition. Fuzzy Sets and Systems, 40:5–38, 1991.
I.B. Turksen. Stochastic fuzzy sets:A survey. In J. Kacprzyk and M. Fedrizzi, editors, Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making, pages 168–183, New York, Springer-Verlag 1988.
A. Norwich and I.B. Turksen. Stochastic fuzziness. In M.M. Gupta and E. Sanchez, editors, Approximate Reasoning in Decision Analysis, pages 13–22, North-Holland, Amsterdam, 1982.
T. Nomura et al. Generating Ambiguous Attributes Based on Averaging Operators. In P. Sadanandan and T. M. Vijayaraman, editors, Advances in Data Management, pages 199-218, Bombay, 1991.
T. Nomura et al. Generating Ambiguous Attributes for Fuzzy Queries. In D. Dubois and H. Prade, editors, IEEE International Conference on Fuzzy Systems, pages 753-760, San Diego, 1992.
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Tashiro, H., Nomura, T., Ohki, N., Yokoyama, T., Kamekura, R., Matsushita, Y. (1992). A Fuzzy Database System Considering Each User’s Subjectivity. In: Tjoa, A., Ramos, I. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7557-6_40
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DOI: https://doi.org/10.1007/978-3-7091-7557-6_40
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82400-9
Online ISBN: 978-3-7091-7557-6
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