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Fuzzy Syntactic Congruence and Rational Fuzzy Languages
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作者 SHU Lan1, PENG Jia-yin21.Dept. of Applied Math., University of Electronic Science and Technology of China, Chengdu 610054, China2.Department of Mathematics, Neijiang Teacher′s College, Sichuan Neijiang 614002, China 《Systems Science and Systems Engineering》 CSCD 2002年第4期393-396,共4页
In this paper the notion of rational fuzzy language is introduced, and a theorem is obtained: a fuzzy subset of Σ* is recognizable if and only if it′s rational. The result connects the rational fuzzy language with f... In this paper the notion of rational fuzzy language is introduced, and a theorem is obtained: a fuzzy subset of Σ* is recognizable if and only if it′s rational. The result connects the rational fuzzy language with fuzzy finite-state automaton language. 展开更多
关键词 fuzzy finite-state automaton fuzzy rational language recognizable
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A study of reporters as functional entity in news fuzzy language
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作者 张军益 《Sino-US English Teaching》 2011年第2期98-101,共4页
Fuzziness, as intrinsic property of natural language, appears to be an extremely pervasive phenomenon in language communication with no exception of news reporting. To some extent, the usage of a great number of fuzzy... Fuzziness, as intrinsic property of natural language, appears to be an extremely pervasive phenomenon in language communication with no exception of news reporting. To some extent, the usage of a great number of fuzzy expressions in news reporting reflects the property of reporter as functional entity. On different occasions, reporters, when reporting news, may play such three kinds of roles as the first information source, the second information source or the virtual interpreter. The different roles-playing determines the pragmatic intention of fuzzy language in news reporting. 展开更多
关键词 news fuzzy language REPORTER functional entity
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AN ALGORITHM OF TEST FOR FUZZY CODES 被引量:2
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作者 Mo Zhiwen Pen Jiayin Dept,of Math., Sichuan Normal Univ., Chengdu 610066. Dept. of Math., Neijiang Teacher’s College, Neijiang 641002. 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2001年第1期88-94,共7页
How to verify that a given fuzzy set A∈F(X *) is a fuzzy code? In this paper, an algorithm of test has been introduced and studied with the example of test. The measure notion for a fuzzy code and a precise form... How to verify that a given fuzzy set A∈F(X *) is a fuzzy code? In this paper, an algorithm of test has been introduced and studied with the example of test. The measure notion for a fuzzy code and a precise formulation of fuzzy codes and words have been discussed. sification:90K20,94D05. 展开更多
关键词 fuzzy algebra fuzzy semigroup fuzzy language fuzzy code algorithm.
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Capability requirements modeling and verification based on fuzzy ontology 被引量:4
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作者 Qingchao Dong Zhixue Wang Weixing Zhu Hongyue He 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第1期78-87,共10页
The capability requirements of the command, control, communication, computing, intelligence, surveillance, reconnaissance (C41SR) systems are full of uncertain and vague information, which makes it difficult to mode... The capability requirements of the command, control, communication, computing, intelligence, surveillance, reconnaissance (C41SR) systems are full of uncertain and vague information, which makes it difficult to model the C41SR architecture. The paper presents an approach to modeling the capability requirements with the fuzzy unified modeling language (UML) and building domain ontologies with fuzzy description logic (DL). The UML modeling constructs are extended according to the meta model of Depart- ment of Defense Architecture Framework to improve their domain applicability, the fuzzy modeling mechanism is introduced to model the fuzzy efficiency features of capabilities, and the capability requirement models are converted into ontologies formalized in fuzzy DL so that the model consistency and reasonability can be checked with a DL reasoning system. Finally, a case study of C41SR capability requirements model checking is provided to demonstrate the availability and applicability of the method. 展开更多
关键词 fuzzy ontology fuzzy unified modeling language (UML) fuzzy description logic (DL) model checking.
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Minimization of Fuzzy Finite Generalized Automata 被引量:2
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作者 莫智文 胡红莉 《Journal of Electronic Science and Technology of China》 CAS 2006年第1期86-88,共3页
Some concepts in Fuzzy Generalized Automata (FGA) are established. Then an important new algorithm which would calculate the minimal FGA is given. The new algorithm is composed of two parts: the first is called E-r... Some concepts in Fuzzy Generalized Automata (FGA) are established. Then an important new algorithm which would calculate the minimal FGA is given. The new algorithm is composed of two parts: the first is called E-reduction which contracts equivalent states, and the second is called RE-reduction which removes retrievable states. Finally an example is given to illuminate the algorithm of minimization. 展开更多
关键词 fuzzy language fuzzy finite state automata fuzzy Generalized Automata(FGA) minimal automata
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A new knowledge discovery method for scientific and technologic database 被引量:3
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作者 DezhengZhang LianyingSun 《Journal of University of Science and Technology Beijing》 CSCD 2002年第3期237-240,共4页
A new algorithm for the knowledge discovery based on statistic inductionlogic is proposed, and the validity of the methods is verified by examples. The method is suitablefor a large range of knowledge discovery applic... A new algorithm for the knowledge discovery based on statistic inductionlogic is proposed, and the validity of the methods is verified by examples. The method is suitablefor a large range of knowledge discovery applications in the studying of causal relation,uncertainty knowledge acquisition and principal factors analyzing. The language filed description ofthe state space makes the algorithm robust in the adaptation with easier understandable results,which are isomotopy with natural language in the topologic space. 展开更多
关键词 knowledge discovery statistic induction fuzzy language field
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Approximation and universality of fuzzy Turing machines 被引量:1
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作者 LI YongMing 《Science in China(Series F)》 2008年第10期1445-1465,共21页
Fuzzy Turing machines are the formal models of fuzzy algorithms or fuzzy computations. In this paper we give several different formulations of fuzzy Turing machine, which correspond to nondeterministic fuzzy Turing ma... Fuzzy Turing machines are the formal models of fuzzy algorithms or fuzzy computations. In this paper we give several different formulations of fuzzy Turing machine, which correspond to nondeterministic fuzzy Turing machine using max-* composition for some t-norm* (or NFTM*, for short), nondeterministic fuzzy Turing machine (or NFTM), deterministic fuzzy Turing machine (or DFTM), and multi-tape versions of fuzzy Turing machines. Some distinct results compared to those of ordinary Turing machines are obtained. First, it is shown that NFTM*, NFTM, and DFTM are not necessarily equivalent in the power of recognizing fuzzy languages if the t-norm* does not satisfy finite generated condition, but are equivalent in the approximation sense. That is to say, we can approximate an NFTM* by some NFTM with any given accuracy; the related constructions are also presented. The level characterization of fuzzy recursively enumerable languages and fuzzy recursive languages are exploited by ordinary r.e. languages and recursive languages. Second, we show that universal fuzzy Turing machine exists in the approximated sense. There is a universal fuzzy Turing machine that can simulate any NFTM* on it with a given accuracy. 展开更多
关键词 fuzzy Turing machine fuzzy recursively enumerable language fuzzy recursive language universal fuzzy Turing machine fuzzy algorithm
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Type-2 fuzzy description logic
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作者 Ruixuan LI Kunmei WEN +3 位作者 Xiwu GU Yuhua LI Xiaolin SUN Bing LI 《Frontiers of Computer Science》 SCIE EI CSCD 2011年第2期205-215,共11页
Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and roles, thus providing the motivatio... Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and roles, thus providing the motivation for this work. In this paper, we present a type-2 fuzzy attributive concept language with complements (ALC) and provide its knowledge representation and reasoning algorithms. We also propose type-2 fuzzy web ontology language (OWL) to build a fuzzy ontology based on type- 2 fuzzy ALC and analyze the soundness, completeness, and complexity of the reasoning algorithms. Compared to type-1 fuzzy ALC, type-2 fuzzy ALC can describe imprecise knowledge more meticulously by using the membership degree interval. We implement a semantic search engine based on type-2 fuzzy ALC and carry out experiments on real data to test its performance. The results show that the type-2 fuzzy ALC can improve the precision and increase the number of relevant hits for imprecise information searches. 展开更多
关键词 description logic (DL) type-2 fuzzy attributive concept language with complements (ALC) fuzzy ontology REASONING semantic search engine
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