Classical computability and fuzzy Turing machines

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 c...

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Autor principal: Bedregal, B.R.C
Otros Autores: Figueira, S.
Formato: Acta de conferencia Capítulo de libro
Lenguaje:Inglés
Publicado: 2006
Acceso en línea:Registro en Scopus
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024 7 |2 scopus  |a 2-s2.0-33745624272 
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100 1 |a Bedregal, B.R.C. 
245 1 0 |a Classical computability and fuzzy Turing machines 
260 |c 2006 
270 1 0 |m Bedregal, B.R.C.; Federal University of Rio Grande do Norte, Department of Informatics and Applied Mathematics, Laboratory of Logic and Computational Intelligence, Natal-RN, Brazil; email: bedregal@dimap.ufrn.br 
506 |2 openaire  |e Política editorial 
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504 |a Fenner, S.A., Fortnow, L., Naik, A.V., Rogers, J.D., Inverting onto functions (2003) Information and Computation, 186 (1), pp. 90-103 
504 |a Gerla, G., (2001) Fusszy Logic: Mathematical Tools for Approximate Reasoning, , Springer-Verlag, Berlin Heidelberg New York 
504 |a Goldin, D.Q., Smolka, S.A., Attie, P.C., Sonderegger, E.L., Turing machines, transition systems and interaction (2004) Information and Computation, 194, pp. 101-128 
504 |a Harkleroad, L., Fuzzy recursion, ret's and isols (1984) Zeitschrift fur Math. Logik und Grundlagen der Mathematik, 30, pp. 425-436 
504 |a Harrison, M.A., (1978) Introduction to Formal Language Theory, , Addison-Wesley publishing, Reading, Massachusetts 
504 |a Hopcroft, J.E., Ullman, J.D., (1979) Introduction to Automata Theory, Languages and Computation, , Addison-Wesley publishing, Reading, Massachusetts 
504 |a Lee, E.T., Zadeh, L.A., Note on fuzzy languages (1969) Information Sciences, 1 (4), pp. 421-434 
504 |a Linz, P., (2001) An Introduction to Formal Language and Automata, , Jones and Bartlett Publisher 
504 |a Moraga, C., Towards a fuzzy computability? (1999) Mathware & Soft Computing, 6, pp. 163-172 
504 |a Morales-Bueno, R., Conejo, R., Prez-De-La-Cruz, J.L., Triguero-Ruiz, F., On a class of fuzzy computable functions (2001) Fuzzy Sets and Systems, 121, pp. 505-522 
504 |a Porfilieva, I., Fuzzy function as an approximate solution to a system of fuzzy relation equations (2004) Fuzzy Sets and Systems, 147, pp. 363-383 
504 |a Santos, E., Fuzzy algorithms (1970) Information and Control, 17, pp. 326-339 
504 |a Santos, E., Fuzzy and probabilistic programs (1976) Information Sciences, 10, pp. 331-335 
504 |a Schweizer, B., Sklar, A., Associative functions and abstract semigroups (1963) Publ. Math. Debrecen, 10, pp. 69-81 
504 |a Soare, R., (1987) Recursively Enumerable Sets and Degrees, , Springer-Verlag, Berlin Heidelberg New York 
504 |a Weihrauch, K., (2000) Computable Analysis - An Introduction, , Springer Verlag, Berlin Heildelberg New York 
504 |a Wiedermann, J., Fuzzy Turing machines revised (2002) Computating and Informatics, 21 (3), pp. 1-13 
504 |a Wiedermann, J., Characterizing the super-Turing computing power and efficiency of classical fuzzey Turing machines (2004) Theoretical Computer Science, 317, pp. 61-69 
504 |a Zadeh, L.A., Fuzzy algorithms (1968) Information and Control, 2, pp. 94-102 
504 |a Zimmermann, H.J., (2001) Fuzzy Set Theory and Its Applications. 4th Edition, , Kluwer Academic Publishers, Dorbrecht Boston LondonA4 - Centro Latinoamericano de Estudios en Informatica, CLEI; U. Chile, Centro de Modelamiento Matematico; CONICYT via grant Anillo en Redes; International Federation for Information Processing, IFIP 
520 3 |a 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. © Springer-Verlag Berlin Heidelberg 2006.  |l eng 
593 |a Federal University of Rio Grande do Norte, Department of Informatics and Applied Mathematics, Laboratory of Logic and Computational Intelligence, Natal-RN, Brazil 
593 |a University of Buenos Aires, Department of Computer Science, FCEyN, Buenos Aires, Argentina 
690 1 0 |a COMPUTATIONAL COMPLEXITY 
690 1 0 |a MATHEMATICAL MODELS 
690 1 0 |a RECURSIVE FUNCTIONS 
690 1 0 |a SET THEORY 
690 1 0 |a TRANSDUCERS 
690 1 0 |a CLASSICAL RECURSION CONCEPTS 
690 1 0 |a COMPUTABLE FUZZY FUNCTION 
690 1 0 |a COMPUTATIONAL POWER 
690 1 0 |a FUZZY TURING MACHINES 
690 1 0 |a FUZZY SETS 
700 1 |a Figueira, S. 
711 2 |c Valdivia  |d 20 March 2006 through 24 March 2006  |g Código de la conferencia: 67649 
773 0 |d 2006  |g v. 3887 LNCS  |h pp. 154-165  |p Lect. Notes Comput. Sci.  |n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  |x 03029743  |w (AR-BaUEN)CENRE-983  |z 354032755X  |z 9783540327554  |t LATIN 2006: Theoretical Informatics - 7th Latin American Symposium 
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856 4 0 |u https://doi.org/10.1007/11682462_18  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_03029743_v3887LNCS_n_p154_Bedregal  |y Handle 
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