On approximate minimization of fuzzy automata
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F09%3A00010280" target="_blank" >RIV/61989592:15310/09:00010280 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On approximate minimization of fuzzy automata
Original language description
The paper presents a contribution to minimization of fuzzy automata. Traditionally, the problem of minimization of fuzzy automata is described as follows. Given a fuzzy automaton, describe an automaton with the minimal number of states which recognizes the same language as the given one. In this paper, we formulate a different problem. Namely, the minimal fuzzy automaton we are looking for is required to recognize a language which is similar to the language of the given fuzzy automaton to a certain degree a prescribed by a user, such as a = 0.9. That is, we relax the condition for the languages of the automata from being equal to a weaker condition of being similar to degree a. The condition of being equal is a special case for a = 1. We present answers to several problems which arise in this setting including a description of a minimal fuzzy automaton satisfying the above condition. The question of how to efficiently construct the minimal automaton is left as an open problem.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Multiple-Valued Logic and Soft Computing
ISSN
1542-3980
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
2-3
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
125-135
UT code for WoS article
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EID of the result in the Scopus database
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