On the semantics of perception-based fuzzy logic deduction

International Journal of Intelligent Systems

Volumn 19, Issue 11, 2004, Pages 1007-1031

  Novák, Vilém ^a,b   Perfilieva, Irina ^a  

^a UNIVERSITY OF OSTRAVA   (Czech Republic)

^b INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; FUNCTIONS; FUZZY CONTROL; LINGUISTICS; MATHEMATICAL MODELS; SEMANTICS;

FUZZY APPROXIMATIONS; MAMDANI METHOD; MONOTONOUS FUNCTIONS;

FUZZY SETS;

EID: 7544247240     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20034     Document Type: Article

References (22)

1. Klir GJ, Yuan B. Fuzzy sets and fuzzy logic: Theory and applications. New York: Prentice-Hall; 1995.
2. Novák V. Fuzzy sets and their applications. Bristol: Adam Hilger; 1989.
3. Ruan D, Kerre EE, editors. Fuzzy If-Then rules in computational intelligence: Theory and applications. Boston: Kluwer; 2000.
4. Dvořák A, Novák V. Fuzzy logic deduction with crisp observations. Soft Comput 2004;8:256-263.
5. Dvořák A, Novák V. Formal theories and linguistic descriptions. Fuzzy Set Syst 2004;143:169-188.
6. Novák V. Antonyms and linguistic quantifiers in fuzzy logic. Fuzzy Set Syst 2001;124:335-351.
7. Novák V, Perfilieva l, Močkoř J. Mathematical principles of fuzzy logic. Boston/Dordrecht: Kluwer; 1999.
8. Novák V. Approximation abilities of perception-based logical deduction. In: Proc Third Conf EUSFLAT 2003, University of Applied Sciences at Zittau/Goerlitz, Zittau, 2003. pp 630-635.
9. Zadeh LA. Toward a logic of perceptions based on fuzzy logic. In: Novák V, Perfilieva I. editors. Discovering the world with fuzzy logic (Studies in Fuzziness and Soft Computing, Vol. 57). Heidelberg: Springer-Verlag; 2000. pp 4-28.
10. Novák V, Kovář J. Linguistic IF-THEN rules in large scale application of fuzzy control. In: Ruan D, Kerre EE, editors. Fuzzy If-Then rules in computational intelligence: Theory and applications. Boston: Kluwer; 2000. pp 223-241.
11. Perfilieva I, Grzymala-Busse J. Fuzzy transform: Application to the reef growth problem. In: Demicco R, Klir GJ, editors. Fuzzy logic in geology. Amsterdam: Academic Press; 2003. pp 275-300.
12. Perfilieva I. Fuzzy transforms. In: Dubois D, Inuiguchi M, Polkowski L, editors. Rough and fuzzy reasoning: Rough versus fuzzy and rough and fuzzy. Heidelberg: Springer-Verlag; 2004.
13. Novák V. On fuzzy type theory. Fuzzy Set Syst. In press.
14. Novák V. Fuzzy logic deduction with words applied to ancient sea level estimation. In: Demicco R, Klir GJ, editors. Fuzzy logic in geology. Amsterdam: Academic Press; 2003. pp 301-336.
15. Zadeh LA. The concept of a linguistic variable and its application to approximate reasoning I, II, III. Inform Sci 1975;8:199-257, 301-357; 9:43-80.
16. Bouchon-Meunier B. Fuzzy logic and knowledge representation using linguistic modifiers. In: Zadeh LA, Kacprzyk J, editors. Fuzzy logic for the management of uncertainty. New York: J. Wiley; 1992. pp. 399-414.
17. Carnap R. Meaning and necessity: A study in semantics and modal logic. Chicago: University of Chicago Press; 1947.
18. Vopěnka P. Meditations on principles of science. Prague: Práh; 2001 (in Czech).
19. Hájek P, Novák V. The Sorites paradox and fuzzy logic. Int J Gen Syst 2003;32:373-383.
20. Lakoff G. Hedges: A study in meaning criteria and logic of fuzzy concepts. J Philos Logic 1973;2:458-508.
21. Novák V. Descriptions in full fuzzy type theory. Neural Network World 2003;13:559-569.
22. Dvořák A, Habiballa H, Novák V, Pavliska V. The concept of LFLC 2000 - Its specificity, realization and power for applications. Comput Ind 2003;51:269-280.