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Fuzzy and Intuitionistic Fuzzy Turing Machines

Moniri M.

Fundamenta Informaticae

2013

Vol. 123, nr 3

305--315

First we define a new class of fuzzy Turing machines that we call Generalized Fuzzy Turing Machines. Our machines are equipped with rejecting states as well as accepting states. While we use a t-norm for computing degrees of accepting or rejecting paths, we use its dual t-conorm for computing the accepting or rejecting degrees of inputs. We naturally define when a generalized fuzzy Turing machine accepts or decides a fuzzy language. We prove that a fuzzy language L is decidable if and only if L and its complement are acceptable. Moreover, to each r.e. or co-r.e language L, we naturally correspond a fuzzy language which is acceptable by a generalized fuzzy Turing machine. A converse to this result is also proved. We also consider Atanasov’s intuitionistic fuzzy languages and introduce a version of fuzzy Turing machine for studying their computability theoretic properties.