| Autor: |
Jansirani, N., Vijayaraghavan, N., Dare, V. R. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 9/8/2022, Vol. 2529 Issue 1, p1-11, 11p |
| Abstrakt: |
Traditional Fuzzy Automata are not sufficient to model complex real life applications such as biomedical systems where the inputs can be in terms of Fuzzy. Watson Crick Finite Automaton, which works on Double Stranded tapes was introduced as a computational model to analyze DNA molecule for computational purpose. The concept of Fuzziness was introduced and studied in Watson Crick Automata theory as Watson Crick Fuzzy Automaton. Watson Crick Fuzzy Automata theory can be thought as an effective computational model in DNA computing with problems having incomplete knowledge and Vagueness. In order to efficiently handle the concept of Uncertainty in Automata theory, here in this research paper, the Watson Crick Fuzzy Automata are extended by incorporating the concepts of Fuzzy inputs. The notion of Watson Crick Fuzzy Automaton with Fuzzy inputs has plenty of applications in real-life complex situations in several domains. The transition map extension of Watson Crick Fuzzy Automaton with Fuzzy inputs is done. The Fuzzy languages accepted by Watson Crick Fuzzy Automaton with Fuzzy inputs are studied. The idea of Strong Successor operator in Watson Crick Fuzzy Finite Automaton is discussed. Further, the Fuzzy Successor and Source operations in Watson Crick Fuzzy Finite Automata are also introduced and its characterizations are also studied in detail. Finally, the Cartesian product concept on Watson Crick Fuzzy Finite Automata is established. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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