2006 IEEE International Conference on Fuzzy Systems 2006
DOI: 10.1109/fuzzy.2006.1681991
|View full text |Cite
|
Sign up to set email alerts
|

General Fuzzy Automata, New Efficient Acceptors for Fuzzy Languages

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2008
2008
2024
2024

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 17 publications
0
3
0
Order By: Relevance
“…Doostfatemeh and Kremer [1] therefore introduced a new general definition of fuzzy automation to establish a better basis for automation and the foundations for future applications. Furthermore, general fuzzy automata can also remove the burden of generating a deterministic acceptor to calculate membership values of the strings without developing a deterministic Moore automaton and it can also be used in large fuzzy grammars and languages [12]. In addition, this study takes into account the multi-member value of the General Fuzzy Switchboard Automata (GFSA), since it treats more than one membership value in a state.…”
Section: Literature Reviewmentioning
confidence: 99%

General Fuzzy Switchboard Transformation Semigroup

Nur Ain Ebas,
Kavikumar Jacob,
Mohd Saifullah Rusiman
et al. 2024
ARASET
“…Doostfatemeh and Kremer [1] therefore introduced a new general definition of fuzzy automation to establish a better basis for automation and the foundations for future applications. Furthermore, general fuzzy automata can also remove the burden of generating a deterministic acceptor to calculate membership values of the strings without developing a deterministic Moore automaton and it can also be used in large fuzzy grammars and languages [12]. In addition, this study takes into account the multi-member value of the General Fuzzy Switchboard Automata (GFSA), since it treats more than one membership value in a state.…”
Section: Literature Reviewmentioning
confidence: 99%

General Fuzzy Switchboard Transformation Semigroup

Nur Ain Ebas,
Kavikumar Jacob,
Mohd Saifullah Rusiman
et al. 2024
ARASET
“…It has been used in the past to represent imprecise specifications (Mensch & Lipp, 1990) and to model learning systems (Wee & Fu, 1969). Fuzziness has been introduced in the different components of the automata: states, transitions, and actions (Doostfatemeh & Kremer, 2006;Mraz, Lapanja, Zimic, & Virant, 1999;Wee & Fu, 1969). Although there are many proposals to define fuzzy automata (Andrés, Llana, & Núñez, 2011;Doostfatemeh & Kremer, 2005;Mordeson & Malik, 2002;Wee & Fu, 1969), we considered timed automata because it is much easier to reuse its existing tools to deal with fuzzy time than build tools from scratch.…”
Section: Introductionmentioning
confidence: 99%
“…Fuzzy automata have been used to deal with different science fields: imprecise specifications [11], modeling Learning Systems [18] and many others. Fuzziness has been introduced in the different components of the automata: states, transitions, and actions [18,13,6]. A similar work of ours has been made in [7].…”
Section: Introductionmentioning
confidence: 99%