Reverse triple I method of fuzzy reasoning
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Abstract
A theory of reverse triple I method with sustention degree is presented by using the implication operatorR 0 in every step of the fuzzy reasoning. Its computation formulas of supremum for fuzzy modus ponens and infimum for fuzzy modus tollens are given respectively. Moreover, through the generalization of this problem, the corresponding formulas of α-reverse triple I method with sustention degree are also obtained. In addition, the theory of reverse triple I method with restriction degree is proposed as well by using the operatorR 0, and the computation formulas of infimum for fuzzy modus ponens and supremum for fuzzy modus tollens are shown.
Keywords
fuzzy reasoning implication operatorR0 reverse triple I method with sustention degree reverse triple I method with restriction degreePreview
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References
- 1.Li Hongxing, Interpolation mechanism of fuzzy control, Science in China, Ser. E, 1998, 41 (3): 312–320.MATHCrossRefGoogle Scholar
- 2.Buckley, J. J., Sugeno type controllers are universal controllers, Fuzzy Sets and Systems, 1993, 53: 299–303.MATHCrossRefMathSciNetGoogle Scholar
- 3.Rovatti, R., Fuzzy piecewise multilinear and piecewise linear system as universal approximators in Sobolev norms, IEEE Trans on Fuzzy Systems, 1998, 6: 235–249.CrossRefGoogle Scholar
- 4.Wang, L. X., Universal approximation by hierarchical fuzzy systems, Fuzzy Sets and Systems, 1998, 93: 223–230.MATHCrossRefMathSciNetGoogle Scholar
- 5.Ying, H., Sufficient conditions on general fuzzy systems as function approximators, Automatica, 1994, 30: 521–525.MATHCrossRefGoogle Scholar
- 6.Ying, H., Sufficient conditions on uniform approximation of multivariate functions by Takagi-Sugeno fuzzy systems with linear rule consequent, IEEE Trans on Systems, Man and Cybern, 1998, 28: 515–520.CrossRefGoogle Scholar
- 7.Zeng, X. J., Singh, M. G., Approximation accuracy analysis of fuzzy systems as fuzzy approximators, IEEE Trans on Fuzzy Systems, 1996, 4: 44–63.CrossRefGoogle Scholar
- 8.Chen, B. S., Tseng, C. S., Uang, H. J., Robustness design of nonlinear dynamical systems via fuzzy linear control, IEEE Trans. on Fuzzy Systems, 1999, 7: 571–585.CrossRefGoogle Scholar
- 9.Wang Guojun, The full implicational triple I method for fuzzy reasoning, Science in China, Ser. E, 1999, 42 (1): 43.Google Scholar
- 10.Wang Guojun, On the logical foundation of fuzzy reasoning, Information Sciences, 1999, 117: 47–88.MATHCrossRefMathSciNetGoogle Scholar
- 11.Song Shiji, Theory of restriction degree of triple I method with total inference rules of fuzzy resoning, Progress in Natural Science, 2001, 11(1): 58–66.MathSciNetGoogle Scholar
- 12.Song Shiji, Reverse triple I method of restriction degree of fuzzy reasoning, Progress in Natural Science, 2002, 12 (5): 373–377.MATHMathSciNetGoogle Scholar
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© Science in China Press 2002