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 mini...

Abstract Fuzzy multiset finite automata with output represent fuzzy version of (with output) working over multisets. This paper introduces Mealy-like, Moore-like, and compact automata. Their mutual transformations are described to prove their equivalent behaviours. Furthermore, various variants reduced studied where the reductions directed decrease number components (like initial distribution, ...

Finite state automata are crucial for numerous practical algorithms of computer science. We show how to use genetic algorithms and fuzzy automata to simplify a class of FSA defined by labeled graphs and considered in the literature. Finite state automata, FSA, are well-known tools used in coding theory, text processing, image analysis and compression, speech recognition, and bioinformatics. Lab...

New types of systems of fuzzy relation inequalities and equations, called weakly linear, have been recently introduced in [J. Ignjatović, M. Ćirić, S. Bogdanović, On the greatest solutions to weakly linear systems of fuzzy relation inequalities and equations, Fuzzy Sets and Systems 161 (2010) 3081–3113.]. The mentioned paper dealt with homogeneous weakly linear systems, composed of fuzzy relati...

There has been an increased interest in combining fuzzy systems with neural networks because fuzzy neural systems merge the advantages of both paradigms. On the one hand, parameters in fuzzy systems have clear physical meanings and rule-based and linguistic information can be incorporated into adaptive fuzzy systems in a systematic way. On the other hand, there exist powerful algorithms for tra...

In this paper, we define the notion of a bipolar general fuzzy automaton, then we construct some closure operators on the set of states of a bipolar general fuzzy automaton. Also, we construct some topologies on the set of states of a bipolar general fuzzy automaton. Then we obtain some relationships between them.

In this paper, our focus of attention is the proper propagationof fuzzy degrees in determinization of $Nondeterministic$ $Fuzzy$$Finite$ $Tree$ $Automata$ (NFFTA). Initially, two determinizationmethods are introduced which have some limitations (one inbehavior preserving and other in type of fuzzy operations). Inorder to eliminate these limitations and increasing theefficiency of FFTA, we defin...

There are two kinds of bisimulation, namely crisp and fuzzy, between fuzzy structures such as automata, labeled transition systems, Kripke models interpretations in description logics. Fuzzy bisimulations automata over a complete residuated lattice have been introduced by ?iri? et al. 2012. Logical characterizations (respectively, logics) the [0,1] with Gödel t-norm provided Fan 2015 Nguyen 202...

In this paper intuitionistic fuzzy pushdown automata, acceptance by empty stack and acceptance by final states and their equivalence is proved. It follows that intuitionistic fuzzy pushdown automata with empty stack and IFPDAs are equivalent. We propose the notions of intuitionistic fuzzy context-free grammars (IFCFGs), intuitionistic fuzzy languages generated by IFCFGs. Additionally, we introd...

in this note first by considering the notion of general fuzzy automata (for simplicity gfa), we define the notions of direct product, restricted direct product and join of two gfa. also, we introduce some operations on (fuzzy) sets and then prove some related theorems. finally we construct the general fuzzy recognizers and recognizable sets and give the notion of (trim) reversal of a given gfa....