Abstract
We work with fuzzy Turing machines (ftms) and we study the relationship between this computational model and classical recursion concepts such as computable functions, r.e. sets and universality. ftms are first regarded as acceptors. It has recently been shown in [23] that these machines have more computational power than classical Turing machines. Still, the context in which this formulation is valid has an unnatural implicit assumption. We settle necessary and sufficient conditions for a language to be r.e., by embedding it in a fuzzy language recognized by a ftm and we do the same thing for difference r.e. sets, a class of “harder” sets in terms of computability. It is also shown that there is no universal ftm. We also argue for a definition of computable fuzzy function, when ftms are understood as transducers. It is shown that, in this case, our notion of computable fuzzy function coincides with the classical one.
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References
Alsina, C., Trillas, E., Valverde, L.: On non-distributive logical connectives for fuzzy set theory. Busefal 3, 18–29 (1980)
Biacino, L., Gerla, G.: Fuzzy subsets: A constructive approach. Fuzzy Sets and Systems 45, 161–168 (1992)
Clares, B., Delgado, M.: Introduction of the concept of recursiveness of fuzzy functions. Fuzzy Sets and Systems 21, 301–310 (1987)
Demirci, M.: Fuzzy functions and their applications. Journal of Mathematical Analysis and Appliactions 252(1), 495–517 (2000)
Deutsch, D.: Quantum theory, the Church-Turing principle and the universal quantum computer. Proc. Roy. Soc. London Ser. A 400, 97–117 (1985)
Fenner, S.A., Fortnow, L., Naik, A.V., Rogers, J.D.: Inverting onto functions. Information and Computation 186(1), 90–103 (2003)
Gerla, G.: Fuzzy Logic: Mathematical Tools for Approximate Reasoning. Springer, Heidelberg (2001)
Goldin, D.Q., Smolka, S.A., Attie, P.C., Sonderegger, E.L.: Turing machines, transition systems and interaction. Information and Computation 194, 101–128 (2004)
Harkleroad, L.: Fuzzy recursion, ret’s and isols. Zeitschrift Fur Math. Logik und Grundlagen der Mathematik 30, 425–436 (1984)
Harrison, M.A.: Introduction to formal language theory. Addison-Wesley publishing, Reading (1978)
Hopcroft, J.E., Ullman, J.D.: Introduction to automata theory, languages and computation. Addison-Wesley, Reading (1979)
Lee, E.T., Zadeh, L.A.: Note on fuzzy languages. Information Sciences 1(4), 421–434 (1969)
Linz, P.: An Introduction to Formal Language and Automata. Jones and Bartlett Publisher (2001)
Moraga, C.: Towards a Fuzzy Computability? Mathware & Soft Computing 6, 163–172 (1999)
Morales-Bueno, R., Conejo, R., Prez-de-la-Cruz, J.L., Triguero-Ruiz, F.: On a class of fuzzy computable functions. Fuzzy Sets and Systems 121, 505–522 (2001)
Perfilieva, I.: Fuzzy function as an approximate solution to a system of fuzzy relation equations. Fuzzy Sets and Systems 147, 363–383 (2004)
Santos, E.: Fuzzy algorithms. Information and Control 17, 326–339 (1970)
Santos, E.: Fuzzy and probabilistic programs. Information Sciences 10, 331–335 (1976)
Schweizer, B., Sklar, A.: Associative functions and abstract semigroups. Publ. Math. Debrecen 10, 69–81 (1963)
Soare, R.: Recursively enumerable sets and degrees. Springer, Heidelberg (1987)
Weihrauch, K.: Computable Analysis – An introduction. Springer, Heidelberg (2000)
Wiedermann, J.: Fuzzy Turing machines revised. Computating and Informatics 21(3), 1–13 (2002)
Wiedermann, J.: Characterizing the super-Turing computing power and efficiency of classical fuzzy Turing machines. Theoretical Computer Science 317, 61–69 (2004)
Zadeh, L.A.: Fuzzy Algorithms. Information and Control 2, 94–102 (1968)
Zimmermann, H.J.: Fuzzy Set Theory and its Applications, 4th edn. Kluwer Academic Publishers, Dordrecht (2001)
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Bedregal, B.R.C., Figueira, S. (2006). Classical Computability and Fuzzy Turing Machines. In: Correa, J.R., Hevia, A., Kiwi, M. (eds) LATIN 2006: Theoretical Informatics. LATIN 2006. Lecture Notes in Computer Science, vol 3887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11682462_18
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DOI: https://doi.org/10.1007/11682462_18
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