Minimization of Fuzzy Finite Tree Automata
نویسندگان
چکیده
Fuzzy Finite Tree Automata (FFTA) are natural generalizations of fuzzy automata on words. FFTA accept fuzzy tree languages and are used in many areas of mathematics, computer science and engineering. Therefore, it is important to design algorithms that reduce the size (number of states) of automata, and find the minimal FFTA that recognizes the same language as a given FFTA. We present two minimization algorithms for FFTA. Both proposed algorithms are based on partitioning the states to subsets of equivalent states, and proper propagation of fuzzy degrees on transition rules.
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