Approximation of fuzzy context-free grammars

Fuzzy context-free max-* grammar (or FCFG"*, for short), as a straightforward extension of context-free grammar, has been introduced to express uncertainty, imprecision, and vagueness in natural language fragments. Li recently proposed the approximation of fuzzy finite automata, which may effectively deal with the practical problems of fuzziness, impreciseness and vagueness. In this paper, we further develop the approximation of fuzzy context-free grammars. In particular, we show that a fuzzy context-free grammar under max-* compositional inference can be approximated by some fuzzy context-free grammar under max-min compositional inference with any given accuracy. In addition, some related properties of fuzzy context-free grammars and fuzzy languages generated by them are studied. Finally, the sensitivity of fuzzy context-free grammars is also discussed.

[1]  Daowen Qiu,et al.  Automata theory based on quantum logic: Reversibilities and pushdown automata , 2007, Theor. Comput. Sci..

[2]  George Rahonis,et al.  Fuzzy regular languages over finite and infinite words , 2006, Fuzzy Sets Syst..

[3]  Xiuhong Guo,et al.  Grammar theory based on lattice-ordered monoid , 2009, Fuzzy Sets Syst..

[4]  T. Pavlidis,et al.  Fuzzy sets and their applications to cognitive and decision processes , 1977 .

[5]  Li Sheng,et al.  Regular grammars with truth values in lattice-ordered monoid and their languages , 2006, Soft Comput..

[6]  Umesh V. Vazirani,et al.  Quantum Complexity Theory , 1997, SIAM J. Comput..

[7]  Lotfi A. Zadeh,et al.  A note on web intelligence, world knowledge and fuzzy logic , 2004, Data Knowl. Eng..

[8]  Enric Trillas,et al.  On the use of words and fuzzy sets, , 2006, Inf. Sci..

[9]  Witold Pedrycz,et al.  Fuzzy finite automata and fuzzy regular expressions with membership values in lattice-ordered monoids , 2005, Fuzzy Sets Syst..

[10]  Peter R. J. Asveld,et al.  Fuzzy context-free languages - Part 1: Generalized fuzzy context-free grammars , 2000, Theor. Comput. Sci..

[11]  J. Mordeson,et al.  Fuzzy Automata and Languages: Theory and Applications , 2002 .

[12]  Radim Belohlávek,et al.  Determinism and fuzzy automata , 2002, Inf. Sci..

[13]  Lotfi A. Zadeh,et al.  Is there a need for fuzzy logic? , 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

[14]  Azaria Paz,et al.  Introduction to probabilistic automata (Computer science and applied mathematics) , 1971 .

[15]  Zhihui Li,et al.  The relationships among several types of fuzzy automata , 2006, Inf. Sci..

[16]  Huaiqing Wang,et al.  A probabilistic model of computing with words , 2005, J. Comput. Syst. Sci..

[17]  Azaria Paz,et al.  Introduction to Probabilistic Automata , 1971 .

[18]  Symeon Bozapalidis,et al.  On the recognizability of fuzzy languages II , 2008, Fuzzy Sets Syst..

[19]  Witold Pedrycz,et al.  An approach to measure the robustness of fuzzy reasoning: Research Articles , 2005 .

[20]  Friedrich Steimann,et al.  Clinical monitoring with fuzzy automata , 1994 .

[21]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[22]  Ping Li,et al.  Algebraic properties of LA-languages , 2006, Inf. Sci..

[23]  Petr Hájek,et al.  Metamathematics of Fuzzy Logic , 1998, Trends in Logic.

[24]  Hikmet Senay,et al.  Fuzzy command grammars for intelligent interface design , 1992, IEEE Trans. Syst. Man Cybern..

[25]  Yongming Li,et al.  Approximation and universality of fuzzy Turing machines , 2008, Science in China Series F: Information Sciences.

[26]  Karvel K. Thornber,et al.  Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems , 1999, Proc. IEEE.

[27]  S. Yau,et al.  FRACTIONALLY FUZZY GRAMMARS WITH APPLICATION TO PATTERN RECOGNITION , 1975 .

[28]  Yongming Li,et al.  Approximation and robustness of fuzzy finite automata , 2008, Int. J. Approx. Reason..

[29]  Witold Pedrycz,et al.  An approach to measure the robustness of fuzzy reasoning , 2005, Int. J. Intell. Syst..

[30]  Miroslav Ciric,et al.  Determinization of fuzzy automata with membership values in complete residuated lattices , 2008, Inf. Sci..

[31]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[32]  Jean Berstel,et al.  Transductions and context-free languages , 1979, Teubner Studienbücher : Informatik.

[33]  Feng Lin,et al.  Modeling and control of fuzzy discrete event systems , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[34]  Lotfi A. Zadeh,et al.  Note on fuzzy languages , 1969, Inf. Sci..

[35]  Eugene S. Santos Fuzzy automata and languages , 1976, Information Sciences.

[36]  Peter R. J. Asveld,et al.  Fuzzy context-free languages - Part 2: Recognition and parsing algorithms , 2000, Theor. Comput. Sci..

[37]  Michael, G. Thomason,et al.  Deterministic Acceptors of Regular Fuzzy Languages , 1974, IEEE Trans. Syst. Man Cybern..