Intelligent systems with interval type-2 fuzzy logic

International Journal of Innovative Computing, Information and Control

Volumn 4, Issue 4, 2008, Pages 771-783

  Castillo, Oscar ^a   Melin, E Patricia ^a  

^a TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

Author keywords

Hybrid intelligent systems; Intelligent control; Interval fuzzy logic; Type 2 fuzzy logic

Indexed keywords

EID: 48249099654     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. L. A. Zadeh, Toward a generalized theory of uncertainty (GTU) - An outline, Information Sciences, vol.172, pp.1-40, 2005.
2. L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning, Part 1, Information Sciences, vol.8, pp.199-249, 1975.
3. J. M. Mendel, Computing derivatives in interval type-2 fuzzy logic systems, IEEE Ransactions on Fuzzy Systems, vol.12, pp.84-98, 2004.
4. M. Mizumoto and K. Tanaka, Some properties of fuzzy sets of type-2, Information and Control, vol-31, pp.312-340, 1976.
5. M. Wagenknecht and K. Hartmann, Application of fuzzy sets of type 2 to the solution of fuzzy equations systems, Fuzzy Sets and Systems, vol.25, pp.183-190, 1988.
6. N. N. Karnik and J. M. Mendel, Operations on type-2 fuzzy sets, Fuzzy Sets and Systems, vol.122, pp.327-348, 2001.
7. F. Doctor, H. Hagras and V. Callaghan, A type-2 fuzzy embedded agent to realize ambient intelligence in ubiquitous computing environments, Information Sciences, vol.171, pp.309-334, 2005.
8. N. N. Karnik, J. M. Mendel and Q. Liang, Type-2 fuzzy logic systems, IEEE Ransactions on Fuzzy Systems, vol.7, pp.643-658, 1999.
9. J. M. Mendel and R. I. Bob John, Type-2 fuzzy sets made simple, IEEE Transactions on Fuzzy Systems, vol.10, pp.117-127, 2002.
10. O. Castillo and P. Melin, Soft Computing for Control of Non-linear Dynamical Systems, Springer-Verlag, Heidelberg, Germany, 2001.
11. P. Melin and O. Castillo, A new method for adaptive control of non-linear plants using type-2 fuzzy logic and neural networks, International J. of General Systems, vol.33, pp.289-304, 2004.
12. H. Hagras, Hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots, IEEE Transactions on Fuzzy Systems, vol.12, no.4, pp.524-539, 2004.
13. L. Astudillo, O. Castillo and L. T. Aguilar, Intelligent control of an autonomous mobile robot using type-2 fuzzy logic, Proc. of the International Conference on Artificial Intelligence, Las Vegas NV, pp-565-570, 2006.
14. O. Castillo and P. Melin, A new approach for plant monitoring using type-2 fuzzy logic and fractal theory, International J. of General Systems, vol.33, pp-305-319, 2004.
15. O. Castillo and P. Melin, Soft Computing and Fractal Theory for Intelligent Manufacturing, Springer-Verlag, Heidelberg, Germany, 2003.
16. L. A. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes, IEEE Transactions on Systems, Man, and Cybernetics, vol.3, pp.28-44, 1973.
17. L. A. Zadeh, Similarity relations and fuzzy ordering, Information Sciences, vol.3, pp.177-206, 1971.
18. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice Hall, New Jersey, 2001.
19. J. M. Mendel and G. C. Mouzouris, Type-2 fuzzy logic systems, IEEE Transactions on Fuzzy Systems, vol.7, pp.643-658, 1999.
20. S. Li and X. Zhang, Fuzzy logic controller with interval-valued inference for distributed parameter system, International Journal of Innovative Computing, Information and Control, vol.2, pp.1197-1206, 2006.
21. N. N. Karnik and J. M. Mendel, Centroid of a type-2 fuzzy set, Information Sciences, vol. 132, pp.195-220, 2001.
22. J. G. Proakis and D. G, Manolakis, Digital Signal Processing principles, Algorithms, and Applications, Third Edition, Prentice Hall, New Jersey, 1996.
23. K. Belarbl, A. Belhani and K. Fujimoto, Multivariable fuzzy logic controller based on a compensator of interactions and genetic tuning, Int. J. Innovative Computing, Information and Control, vol.2, no.6, pp.1207-1217, 2006.