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RISS 활용도 분석
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일본/중국/유럽자료
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최신/인기 학술자료
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해외논문구매대행(E-DDS)
http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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RISS 인기검색어
- 검색키워드
- 저자 : 노석범(Seok-Beom Roh) (검색결과 58 건)
- 무료
- 기관 내 무료
- 유료
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Seok-Beom Roh(노석범), Tae-Chon Ahn(안태천), Sung-Kwun Oh(오성권) 한국지능시스템학회 2005 한국지능시스템학회 학술발표 논문집 Vol.15 No.1
In this paper, we propose a new fuzzy set-based polynomial neuron (FSPN) involving the information granule, and new fuzzy-neural networks - Fuzzy Set based Polynomial Neural Networks (FSPNN). We have developed a design methodology (genetic optimization using Genetic Algorithms) to find the optimal structure for fuzzy-neural networks that expanded from Group Method of Data Handling (GMDH). It is the number of input variables, the order of the polynomial, the number of membership functions, and a collection of the specific subset of input variables that are the parameters of FSPNN fixed by aid of genetic optimization that has search capability to find the optimal solution on the solution space. We have been interested in the architecture of fuzzy rules that mimic the real world, namely sub-model (node) composing the fuzzy-neural networks. We adopt fuzzy set-based fuzzy rules as substitute for fuzzy relation-based fuzzy rules and apply the concept of Information Granulation to the proposed fuzzy set-based rules.
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Seok-Beom Roh(노석범), Sung-Kwun Oh(오성권), Tae-Chon Ahn(안태천) 한국지능시스템학회 2005 한국지능시스템학회 학술발표 논문집 Vol.15 No.2
We introduce a new architecture of hetero-hybridized feed-forward neural networks composed of fuzzy set-based polynomial neural networks (FSPNN) and polynomial neural networks (PNN) that are based on a genetically optimized multi-layer perceptron and develop their comprehensive design methodology involving mechanisms of genetic optimization and Information Granulation. The construction of Information Granulation based HFSPNN (IG-HFSPNN) exploits fundamental technologies of Computational Intelligence(CI), namely fuzzy sets, neural networks, and genetic algorithms(GAs) and Information Granulation. The architecture of the resulting genetically optimized Information Granulation based HFSPNN (namely IG-gHFSPNN) results from a synergistic usage of the hybrid system generated by combining new fuzzy set based polynomial neurons (FPNs)-based Fuzzy Neural Networks(FNN) with polynomial neurons (PNs)-based Polynomial Neural Networks(PNN). The design of the conventional genetically optimized HFPNN exploits the extended Group Method of Data Handling(GMDH) with some essential parameters of the network being tuned by using Genetic Algorithms throughout the overall development process. However, the new proposed IG-HFSPNN adopts a new method called as Information Granulation to deal with Information Granules which are included in the real system, and a new type of fuzzy polynomial neuron called as fuzzy set based polynomial neuron. The performance of the IG-gHFPNN is quantified through experimentation.
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A Note on Intuitionistic Fuzzy Ideals of Semigroup
Kul Hur(허걸), Seok-Beom Roh(노석범), Kyung-Won Jang(장경원), Tae-Chon Ahn(안태천) 한국지능시스템학회 2005 한국지능시스템학회 학술발표 논문집 Vol.15 No.2
We give the characterization of an intuitionistic fuzzy ideal[resp. intuitionistic fuzzy left ideal, an intuitionistic fuzzy right ideal and an intuitionistic fuzzy bi-ideal] generated by an intuitionistic fuzzy set in a semi group without any condition. And we prove that every intuitionistic fuzzy ideal of a semigroup S is the union of a family of intuitionistic fuzzy principle ideals of S. Finally, we investigate the intuitionistic fuzzy ideal generated by an intuitionistic fuzzy set in S<SUP>1</SUP>.
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A Note on Intuitionistic Fuzzy Subgroups
Tae-Chon Ahn(안태천), Kyung-Won Jang(장경원), Seok-Beom Roh(노석범), Kul Hur(허걸) 한국지능시스템학회 2005 한국지능시스템학회 학술발표 논문집 Vol.15 No.2
In this paper, We discuss various types of sublattice of the lattice of intuitionistic fuzzy subgroups of a given group. We prove that a special class of intuitionistic fuzzy normal subgroups constitutes a modular sub lattice of the lattice of intuitionistic fuzzy subgroups. Moreover, we exhibit the relationship of the sublattices of the lattice of intuitionistic fuzzy subgroups.
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