WATSON CRICK FUZZY AUTOMATA WITH OUTPUT

2021 ◽  
Vol 10 (3) ◽  
pp. 1637-1654
Author(s):  
N. Vijayaraghavan ◽  
N. Jansirani ◽  
V.R. Dare
Keyword(s):  
2016 ◽  
Vol 30 (6) ◽  
pp. 3301-3309 ◽  
Author(s):  
S.P. Tiwari ◽  
Vinay Gautam
Keyword(s):  

2010 ◽  
Vol 76 (7) ◽  
pp. 609-633 ◽  
Author(s):  
Miroslav Ćirić ◽  
Aleksandar Stamenković ◽  
Jelena Ignjatović ◽  
Tatjana Petković

2015 ◽  
Vol 23 (6) ◽  
pp. 2144-2153 ◽  
Author(s):  
Ivana Micic ◽  
Zorana Jancic ◽  
Jelena Ignjatovic ◽  
Miroslav Ciric
Keyword(s):  

2005 ◽  
Vol 38 (2) ◽  
pp. 175-214 ◽  
Author(s):  
Mansoor Doostfatemeh ◽  
Stefan C. Kremer

Author(s):  
Davender S. Malik ◽  
John N. Mordeson
Keyword(s):  

2017 ◽  
Vol 6 (1) ◽  
pp. 36-55 ◽  
Author(s):  
Kanchan Tyagi ◽  
Alka Tripathi

Automata theory plays a key role in computational theory as many computational problems can be solved with its help. Formal grammar is a special type of automata designed for linguistic purposes. Formal grammar generates formal languages. Rough grammar and rough languages were introduced to incorporate the imprecision of real languages in formal languages. These languages have limitations on uncertainty. The authors have considered both uncertainty and approximations to define rough fuzzy grammar and rough fuzzy languages. Under certain restrictions, their grammar reduces to formal grammar. Furthermore, the authors have proposed definition of rough fuzzy automata that accepts rough fuzzy regular language.


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