Modeling and linguistic knowledge extraction from systems using fuzzy relational models

Fuzzy Sets and Systems

Volumn 121, Issue 1, 2001, Pages 113-126

  Campello, R J G B ^a   Amaral, W C ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Fuzzy modeling; Knowledge extraction; Linguistic models; Relational models

Indexed keywords

ALGORITHMS; COMPUTATIONAL LINGUISTICS; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS;

KNOWLEDGE EXTRACTION; LINGUISTIC KNOWLEDGE;

CONTROL SYSTEM ANALYSIS;

EID: 0035400623     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(99)00175-X     Document Type: Article

References (29)

1. Bazaraa M.S., Shetty C.M. Nonlinear Programming Theory and Algorithms. 1979;Wiley, New York.
2. Box G.E.P., Jenkins G.M. Time Series Analysis, Forecasting and Control. 1970;Holden-Day, San Francisco, CA.
3. R.J.G.B. Campello, R.M. Nazzetta, W.C. Amaral, A new methodology for fuzzy model identification, Proc. 7th IFSA World Congress, Praga / República Tcheca, 1997, pp. 366-370.
4. Campello R.J.G.B., Nazzetta R.M., Amaral W.C. A highly adaptive algorithm for fuzzy modelling of systems. J. Internat. Uncertainty Fuzziness Knowledge-Based Systems. 6:1998;35-50.
5. Di Nola A., Pedrycz W., Sessa S. When is a fuzzy relation decomposable in two fuzzy sets? Fuzzy Sets and Systems. 16:1985;87-90.
6. Di Nola A., Pedrycz W., Sessa S., Higashi M. Minimal and maximal solutions of a decomposition problem of fuzzy relations. Internat. J. Gen. Systems. 11:1985;103-116.
7. Dubois D., Prade H. Fuzzy Sets and Systems, Theory and Applications. 1980;Academic Press, New York.
8. Graham B.P., Newell R.B. Fuzzy adaptive control of a first-order process. Fuzzy Sets and Systems. 31:1989;47-65.
9. Lee Y.C., Hwang C., Shih Y.P. A combined approach to fuzzy model identification. IEEE Trans. Systems Man Cybernet. 24:1994;736-743.
10. Ljung L. System Identification. Theory for the User:1987;Prentice-Hall, Englewood Cliffs, NJ.
11. M. Mizumoto, Product-Sum-Gravity method = Fuzzy-Singleton-type reasoning method = Simplified fuzzy reasoning method, Proc. 5th IEEE Internat. Conf. on Fuzzy Systems, New Orleans / USA, 1996, pp. 2098-2102.
12. Nie J.H., Lee T.H. Rule-based modeling. fast construction and optimal manipulation IEEE Trans. Systems Man Cybernet. - Part A: Systems Humans. 26:1996;728-738.
13. Oliveira J.V. A design methodology for fuzzy system interfaces. IEEE Trans. Fuzzy Systems. 3:1995;404-414.
14. J.V. Oliveira, J.M. Lemos, Simplifying fuzzy relational structures for adaptive control, Proc. 7th IFSA World Congress, Prague / Czech Republic, 1997, pp. 330-335.
15. Oliveira J.V., Lemos J.M. Improving adaptive fuzzy control performance by speeding up identification: application to an electric furnace. J. Intelligent Fuzzy Systems. 6:1998;297-314.
16. Pedrycz W. An identification algorithm in fuzzy relational systems. Fuzzy Sets and Systems. 13:1984;153-167.
17. Pedrycz W. Fuzzy Control and Fuzzy Systems. 2nd ed. 1993;Research Studies Press/Wiley, New York.
18. Pedrycz W. Fuzzy Sets Engineering. 1995;CRC Press, Boca Raton.
19. Pedrycz W., Gomide F. An introduction to Fuzzy sets, Analysis and Design. 1998;MIT Press, Cambridge, MA.
20. Setnes M., Babuska R., Verbruggen H.B. Rule-based modeling. precision and transparency IEEE Trans. Systems Man Cybernet. - Part C: Appl. Rev. 28:1998;165-169.
21. Sudkamp T., Hammell II R.J. Interpolation, completion, and learning fuzzy rules. IEEE Trans. Systems Man Cybernet. 24:1994;332-342.
22. Sugeno M., Yasukawa T. A fuzzy-logic based approach to qualitative modeling. IEEE Trans. Fuzzy Systems. 1:1993;7-31.
23. Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Systems Man Cybernet. SMC-15:1985;116-132.
24. Tong R.M. Analysis of fuzzy control algorithms using the relation matrix. Internat. J. Man-Mach. Studies. 8:1976;679-686.
25. Tong R.M. Synthesis of fuzzy models for industrial processes - some recent results. Internat. J. General Systems. 4:1978;143-162.
26. Willaeys D., Malvache N. The use of fuzzy sets for the treatment of fuzzy information by computer. Fuzzy Sets and Systems. 5:1981;323-327.
27. Yager R.R., Filev D.P. Essentials of Fuzzy Modeling and Control. 1994;Wiley, New York.
28. Zadeh L.A. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Systems Man Cybernet. SMC-3:1973;28-44.
29. L.A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning - Parts 1 and 2, Inform. Sci. 8 (1975) 199-249, 301-357.