Mining time series data by a fuzzy linguistic summary system

Fuzzy Sets and Systems

Volumn 112, Issue 3, 2000, Pages 419-432

  Chiang, Ding An ^a   Chow, Louis R ^a   Wang, Yi Fan ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

Author keywords

A linguistic summary; Data mining; Matching degree; Truth value

Indexed keywords

EID: 0000003319     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(98)00003-7     Document Type: Article

References (22)

1. P. Bosc, M. Galibourg, G. Hamon, Fuzzy query with SQL: extensions and implementation aspects, Fuzzy Sets and Systems 28 (1988) 333-349.
2. P. Bosc, O. Pivert, SQLf: A relational database language for fuzzy querying, IEEE Trans. Fuzzy Systems 3 (1) (1995) 1-17.
3. B.P. Buckles, F.E. Petry, Information-theoretical characterization of fuzzy relational databases, IEEE Trans. Syst., Man Cybern. 13 (1) (1983) 72-77.
4. Y. Cai, N. Cercone, J. Han, Attribute-oriented induction in relational databases, in: G. Piatetsky-Shapiro, W.J. Frawley (Eds.), Knowledge Discovery in Databases, AAAI/MIT, Cambridge, MA, 1991, pp. 213-227.
5. M.-S. Chen, J. Han, P.S. Yu. Data mining: an overview from a database perspective, IEEE Trans. Knowl. Data Eng. 8 (6) (1996) 866-883.
6. D.A. Chiang, L.R. Chow, N.C. Hsien, Fuzzy information in extended fuzzy relational databases, Fuzzy Sets and Systems, accepted for publication.
7. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, The KDD process for extracting useful knowledge from volumes of data, ACM Comm. 39 (11) (1996) 27-34.
8. J. Kacprzyk, C. Iwanski, Fuzzy logic with linguistic quantifiers in inductive learning, in: Fuzzy Logic for the Management of Uncertainty, pp. 465-478.
9. +: a human-consistent databases querying system based on fuzzy logic with fuzzy linguistic quantifiers, Inform. Systems 14 (6) (1989) 443-453.
10. J. Kacprzyk, A. Ziolkowski, Databases queries with fuzzy linguistic quantifier, IEEE Trans. Syst., Man Cybern. 16 (1986) 474-479.
11. C.J. Matheus, P.K. Chan, G. Piatetsky-Shapiro, System for knowledge discovery in databases, IEEE Trans. Knowl. Data Eng. 5 (6) (1993) 903-913.
12. J.M. Medina, M.A. Vila, J.C. Cubero, O. Pons, Towards the implementation of a generalized fuzzy relational database model, Fuzzy Sets and Systems 75 (1995) 273-289.
13. J.M. Medina, M.A. Vila, O. Pons, GEFRED: a generalized model of fuzzy relational databases, Inform. Sci. 76 (1994) 87-109.
14. K.V.S.V.N. Raju, A.K. Majumdar, Fuzzy functional dependencies and lossless join decomposition on fuzzy relational database systems, ACM TODS 13 (1988) 129-166.
15. V. Tahani, A conceptual framework for fuzzy query processing: a step towards very intelligent database systems, Inform. Process. Management 13 (1977) 289-303.
16. R.R. Yager, General multiple-objective decision functions and linguistically quantified statements, Int. J. Man-Mach. Stud. 21 (1984) 389-400.
17. R.R. Yager, On ordering weighted averaging aggregation operations in multicriteria decisionmaking, IEEE Trans. Syst., Man Cybern. 18 (1988) 183-190.
18. R.R. Yager, On linguistic summaries of data, in: G. Piatetsky-Shapiro, W.J. Frawley (Eds.), Knowledge Discovery in Databases, AAAI/MIT, Cambridge, MA, 1991, pp. 347-362.
19. R.R. Yager, Database discovery using fuzzy sets, Int. J. Intelligent System 11 (1996) 691-712.
20. L.A. Zadeh, Fuzzy sets, Inf. and Control 8 (1965) 338-353.
21. L.A. Zadeh, Fuzzy sets as a basis for theory of possibility, Fuzzy Sets and Systems 1 (1) (1978) 3-28.
22. L.A. Zadeh, A computational approach to fuzzy quantifiers in natural languages, Comput. Math. Appl. 9 (1984) 149-184.