Abstract
This paper reports on the architecture of a Fuzzy Relational DBMS (FRDBMS) with deduction capabilities, whose main characteristics are: 1) It is built on the basis of a theoretical model for fuzzy relational databases and a theoretical model for logic fuzzy databases; 2) It is implemented entirely on classical RDBMS, using their resources; 3) It conserves all the operations of the host RDBMS and gives them more power, adding new capabilities for dealing with ”fuzzy” and ”intensive” information; 4) It provides a deductive fuzzy language, DFSQL, and a processor which permits the translation of each DFSQL statement into one or more SQL statements, which can be used by the host RDBMS; 5) It offers a relational representaion of the rules that define an intensive table, in such a way that all necessary information to perform deduction is stored in tables. 6) This system needs to interact with a deduction module which performs the computation of intensive tables.
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References
P. Bosc, M. Galibourg, G. Hamon. Fuzzy Querying with SQL: Extensions and Implementation Aspects, Fuzzy Sets and Systems. v.28 pp. 333–349. (1988)
B.P. Buckles, F.E. Petry. A Fuzzy Representation of Data for Relational Databases, Fuzzy Sets and Systems, 7. 213–226. (1982)
J. M. Medina, M. A. Vila, J. C. Cubero, O. Pons. Towards the Implementation of a Generalized Fuzzy Relational Database Model, To appear in Fuzzy Sets & Systems.
J. M. Medina, O. Pons, M. A. Vila. GEFRED. A Generalized Model of Fuzzy Relational Databases, Information Sciences, 76, 1–2, pp 87–109. (1994)
J. M. Medina, J. C. Cubero, O. Pons, M. A. Vila. Fuzzy Knowledge Representation in Relational Databases, Technical Report #DECSAI-94112. November. (1994)
O. Pons, M. A. Vila, J. M. Medina. Handling Imprecise Medical Information in the Framework of Logic Fuzzy Databases, Fuzzy Systems & A. I. Vol. III. Nr. 1/1994. Ed. Academiei Romane. (1994)
H. Prade, C. Testemale. Generalizing Database Relational Algebra for the Treatment of Incomplete/Uncertain Information and Vague Queries, Information Sciences, 34. 115–143. (1984)
M. Umano. Freedom-O: A Fuzzy Database System, Fuzzy Information and Decision Processes. Gupta-Sanchez edit. North-Holland Pub. Comp. (1982)
M. A. Vila, J. C. Cubero, J. M. Medina, O. Pons. Logic and Fuzzy Relational Databases: A New Language and a New Definition. In Fuzzy Sets and Possibility Theory in Databases Management Systems. P. Bosc and J. Kacprzyk Eds. Physica-Verlag. (1995)
M. A. Vila, J. C. Cubero, J. M. Medina, O. Pons. Towards the Computer Implementation of a Fuzzy Relational and Deductive Database System, Proceedings of the FUZZ-IEEE/IFES'95 workshop on Fuzzy Relational Systems and Information Retrieval, Yokohama, Japan. March (1995).
M. Zemankova, A. Kandel. Fuzzy Relational Data Bases — A Key to Expert Systems, Verlag TUV Rheinland. (1984)
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© 1996 Springer-Verlag Berlin Heidelberg
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Pons, O., Medina, J.M., Cubero, J.C., Vila, A. (1996). An architecture for a deductive Fuzzy Relational Database. In: Raś, Z.W., Michalewicz, M. (eds) Foundations of Intelligent Systems. ISMIS 1996. Lecture Notes in Computer Science, vol 1079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61286-6_173
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DOI: https://doi.org/10.1007/3-540-61286-6_173
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