메뉴 건너뛰기




Volumn 3, Issue 3, 2009, Pages 695-700

Design of interval type-2 fuzzy logic system using sampled data and priorknowledge

Author keywords

Bounded range; Monotonicity; Prior knowledge; Symmetry; Type 2 fuzzy

Indexed keywords

CONSTRAINED LEAST SQUARES; FUZZY LOGIC SYSTEM; MONOTONICITY; PRIOR KNOWLEDGE; SAMPLED DATA; SUFFICIENT CONDITIONS; TYPE-2 FUZZY LOGIC SYSTEM;

EID: 77953650312     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (26)

References (10)
  • 1
    • 0034295771 scopus 로고    scopus 로고
    • Interval type-2 fuzzy logic systems: Theory and design
    • Q. Liang, and J. M. Mendel, Interval type-2 fuzzy logic systems: theoryand design, IEEE Transactions on Fuzzy Systems, Vol. 8, No. 5, pp. 535-550,2000.
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.5 , pp. 535-550
    • Liang, Q.1    Mendel, J.M.2
  • 3
    • 33750023711 scopus 로고    scopus 로고
    • Advances in type-2 fuzzy sets and systems
    • J. M. Mendel, Advances in type-2 fuzzy sets and systems, InformationSciences, Vol. 177, pp. 84-110, 2007.
    • (2007) Information Sciences , vol.177 , pp. 84-110
    • Mendel, J.M.1
  • 6
    • 40649086418 scopus 로고    scopus 로고
    • Incorporating prior knowledge in support vector machines forclassification: A review
    • F. Lauer, and G. Bloch, Incorporating prior knowledge in support vectormachines for classification: A review, Neurocomputing, Vol. 71, pp. 1578-1594,2008.
    • (2008) Neurocomputing , vol.71 , pp. 1578-1594
    • Lauer, F.1    Bloch, G.2
  • 7
    • 8644243812 scopus 로고    scopus 로고
    • Incorporating prior knowledge into artificial neural networks - Anindustrial case study
    • S. Milanič, S. Strmčnik, D. Šel, et al.,Incorporating prior knowledge into artificial neural networks - an industrialcase study, Neuralcomputing, Vol. 62, pp. 131-151, 2004.
    • (2004) Neuralcomputing , vol.62 , pp. 131-151
    • Milanič, S.1    Strmčnik, S.2    Šel, D.3
  • 9
    • 0034140584 scopus 로고    scopus 로고
    • Ensuring monotonie gain characteristics in estimated models by fuzzymodel structures
    • P. Lindskog, and L. Ljung, Ensuring monotonie gain characteristics inestimated models by fuzzy model structures, Automatica Vol. 36, pp. 311-317,2000.
    • (2000) Automatica , vol.36 , pp. 311-317
    • Lindskog, P.1    Ljung, L.2
  • 10
    • 69949139537 scopus 로고    scopus 로고
    • Analysis and design of monotonic type-2 fuzzy inference systems
    • Jeju Island, Korea (accepted)
    • C. Li, J. Yi and D. Zhao, Analysis and design of monotonic type-2 fuzzyinference systems, 2009 IEEE International Conference on Fuzzy Systems, JejuIsland, Korea 2009 (accepted).
    • (2009) 2009 IEEE International Conference on Fuzzy Systems
    • Li, C.1    Yi, J.2    Zhao, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.