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Volumn 6077 LNAI, Issue PART 2, 2010, Pages 410-417

Granular Fuzzy Inference System (FIS) design by lattice computing

Author keywords

Fuzzy inference system (FIS); Granular data; Inclusion measure; Intervals' number (IN); Lattice computing

Indexed keywords

FUZZY INFERENCE SYSTEMS; FUZZY NUMBERS; INCLUSION MEASURE; INFORMATION GRANULES; INPUT DATAS; LOGIC VALUES; NON-LINEARITY; REAL NUMBER;

EID: 77954566657     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13803-4_51     Document Type: Conference Paper
Times cited : (6)

References (15)
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  • 3
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    • Graña, M.: State of the art in lattice computing for artificial intelligence applications. In: Nadarajan, R., Anitha, R., Porkodi, C. (eds.) Mathematical and Computational Models, pp. 233-242 (2007)
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    • Graña, M.1
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    • Lattice computing: Lattice-theory-based computational intelligence
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    • Graña, M.: Lattice computing: lattice-theory-based computational intelligence. In: Matsuhisa, T., Koibuchi, H. (eds.) Proc. Kosen Workshop on Mathematics, Technology, and Education (MTE), pp. 19-27 (2008)
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    • Graña, M.1
  • 5
    • 65449136419 scopus 로고    scopus 로고
    • Two lattice computing approaches for the unsupervised segmentation of hyperspectral images
    • Graña, M., Villaverde, I., Maldonado, J.O., Hernandez, C.: Two lattice computing approaches for the unsupervised segmentation of hyperspectral images. Neurocomputing 72(10-12), 2111-2120 (2009)
    • (2009) Neurocomputing , vol.72 , Issue.10-12 , pp. 2111-2120
    • Graña, M.1    Villaverde, I.2    Maldonado, J.O.3    Hernandez, C.4
  • 6
    • 0035360372 scopus 로고    scopus 로고
    • Designing fuzzy inference systems from data: An interpretability-oriented review
    • Guillaume, S.: Designing fuzzy inference systems from data: an interpretability-oriented review. IEEE Trans. Fuzzy Systems 9(3), 426-443 (2001)
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  • 9
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    • Piecewise-linear approximation of nonlinear models based on interval numbers (INs)
    • Kaburlasos, V.G., Priss, U., Graña, M. (eds.)
    • Kaburlasos, V.G., Papadakis, S.E.: Piecewise-linear approximation of nonlinear models based on interval numbers (INs). In: Kaburlasos, V.G., Priss, U., Graña, M. (eds.) Proc. Lattice-Based Modeling (LBM 2008) Workshop, pp. 13-22 (2008)
    • (2008) Proc. Lattice-Based Modeling (LBM 2008) Workshop , pp. 13-22
    • Kaburlasos, V.G.1    Papadakis, S.E.2
  • 10
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    • Piecewise-linear approximation of nonlinear models based on probabilistically/possibilistically interpreted intervals' numbers (INs)
    • to be published
    • Papadakis, S.E., Kaburlasos, V.G.: Piecewise-linear approximation of nonlinear models based on probabilistically/possibilistically interpreted intervals' numbers (INs). Information Sciences (to be published)
    • Information Sciences
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    • Morphological and certain fuzzy morphological associative memories for classification and prediction
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    • Sussner, P., Valle, M.E.: Morphological and certain fuzzy morphological associative memories for classification and prediction. In: Kaburlasos, V.G., Ritter, G.X. (eds.) Computational Intelligence Based on Lattice Theory. SCI, vol. 67, pp. 149-171. Springer, Heidelberg (2007)
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    • Mathematics of Uncertainty - Guest Editiorial
    • Wang, P.P.: Mathematics of Uncertainty - Guest Editiorial. Information Sciences 177(23), 5141-5142 (2007)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.