Add to ORKGClassical automata theory can not deal with uncertainty. To deal with uncertainty in system modeling, fuzzy automata come into the existence. Fuzzy automaton depends on membership value. For finding the membership degree of strings in fuzzy automata, the concept of max – min automaton and min – max automaton can be used. Many researchers have used the concept of max – min automaton for finding the fuzzy languages. In this paper, the concept of min – max automaton for finding the membership degree of strings in fuzzy automata has been used
Fuzzy tree automata are mathematical devices for modeling and analyzing vaguely defined tree structu...
Fuzzy logic is determined as a set of mathematical principles for knowledge representation based on ...
Abstract:- In this study we introduce the concept of total fuzzy grammars. Such grammars may be a us...
AbstractAutomata are the prime example of general computational systems over discrete spaces. The in...
In this paper, a method has been presented to convert finite automaton to fuzzy automaton as fuzzy a...
Abstract. In this paper, Myhill Nerode theorem of finite automaton has been extended to fuzzy automa...
The paper continues our approach for measuring fuzzy values with a game of learning finite automata ...
To overcome some problems with deep understanding of fuzzy values, certain learning finite automaton...
To overcome some problems with deep understanding of fuzzy values, certain learning finite automaton...
Berstel and Pin have characterized local languages by introducing local automaton. In this paper fuz...
Classical automata theory cannot deal with the system uncertainty. To deal with the system uncertain...
Abstract. In this paper, relations among the membership values of gener-alized fuzzy languages such ...
AbstractIn this paper, we show: The threshold of fuzzy automata can be changed arbitrarily. The fuzz...
Abstract. We explain new ways of constructing search algorithms us-ing fuzzy sets and fuzzy automata...
In this paper strongγ- synchronized automata is introduced and algorithm is given to find the strong...
Fuzzy tree automata are mathematical devices for modeling and analyzing vaguely defined tree structu...
Fuzzy logic is determined as a set of mathematical principles for knowledge representation based on ...
Abstract:- In this study we introduce the concept of total fuzzy grammars. Such grammars may be a us...
AbstractAutomata are the prime example of general computational systems over discrete spaces. The in...
In this paper, a method has been presented to convert finite automaton to fuzzy automaton as fuzzy a...
Abstract. In this paper, Myhill Nerode theorem of finite automaton has been extended to fuzzy automa...
The paper continues our approach for measuring fuzzy values with a game of learning finite automata ...
To overcome some problems with deep understanding of fuzzy values, certain learning finite automaton...
To overcome some problems with deep understanding of fuzzy values, certain learning finite automaton...
Berstel and Pin have characterized local languages by introducing local automaton. In this paper fuz...
Classical automata theory cannot deal with the system uncertainty. To deal with the system uncertain...
Abstract. In this paper, relations among the membership values of gener-alized fuzzy languages such ...
AbstractIn this paper, we show: The threshold of fuzzy automata can be changed arbitrarily. The fuzz...
Abstract. We explain new ways of constructing search algorithms us-ing fuzzy sets and fuzzy automata...
In this paper strongγ- synchronized automata is introduced and algorithm is given to find the strong...
Fuzzy tree automata are mathematical devices for modeling and analyzing vaguely defined tree structu...
Fuzzy logic is determined as a set of mathematical principles for knowledge representation based on ...
Abstract:- In this study we introduce the concept of total fuzzy grammars. Such grammars may be a us...