This paper examines fuzzy tree automata\'s deterministic, reduced, and homomorphic properties. It is demonstrated through an example that there is a deterministic fuzzy tree automaton for the nondeterministic one. For every given fuzzy tree automaton, an equivalent reduced fuzzy tree automaton is displayed. A theorem that fuzzy tree languages are preserved by tree homomorphism is derived.
Introduction
The text explores extensions of finite state automata, particularly focusing on fuzzy finite tree automata (FFTA) and their deterministic counterparts (DFFTA). It discusses foundational definitions and formalizes fuzzy finite tree automata, including states, input alphabets, transition rules, and fuzzy final states.
Key results include:
Equivalence of Deterministic and Non-Deterministic Fuzzy Tree Automata: For any fuzzy tree automaton AAA, there exists a deterministic fuzzy tree automaton AdA_dAd? such that both recognize the same fuzzy tree language L(A)=L(Ad)L(A) = L(A_d)L(A)=L(Ad?), although membership values for specific trees may differ.
Reduced Fuzzy Finite Tree Automata: Every fuzzy tree automaton has an equivalent reduced version where all states are accessible, ensuring minimal representation without loss of recognized language.
Tree Homomorphisms: If LLL is recognized by a fuzzy tree automaton and hhh is a linear tree homomorphism, then h(L)h(L)h(L) is also recognized by a fuzzy tree automaton. The text provides a construction method for such automata under tree homomorphisms.
Examples illustrate these constructions and proofs, showing how membership values are computed and how automata transition rules are derived.
Conclusion
Automata on infinite words, weighted automata, fuzzy automata on finite and infinite words, tree automata, and weighted tree automata are some of the ways that finite state automata have been expanded. We refer to [8] for a general treatment of fuzzy automata and languages.
References
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