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Volumn 257, Issue , 2009, Pages 273-293

Design and simulation of the type-2 fuzzification stage: Using active membership functions

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EID: 70350155446     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-04514-1_16     Document Type: Article
Times cited : (17)

References (28)
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    • Liang, Q.1    Mendel, J.M.2
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    • Type-2 Fuzzy Sets: Some Questions and Answers
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    • Mendel, J.M.: Type-2 Fuzzy Sets: Some Questions and Answers. IEEE Neural Networks Society, United States (2003)
    • (2003) IEEE Neural Networks Society
    • Mendel, J.M.1
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    • 0035247535 scopus 로고    scopus 로고
    • Centroid of a Type-2 Fuzzy Set
    • Karnik, N., Mendel, J.M.: Centroid of a Type-2 Fuzzy Set. Information Sciences 132, 195-220 (2001)
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    • Karnik, N.1    Mendel, J.M.2
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    • 0012017963 scopus 로고    scopus 로고
    • Lago, E., Jiménez, C.J., López, D.R., Sánchez-Solano, S., Barriga, A.: XFVHDL: A Tool for the Synthesis of Fuzzy Logic Controllers. Design Automation and Test in Europe, 102-107 (1998)
    • Lago, E., Jiménez, C.J., López, D.R., Sánchez-Solano, S., Barriga, A.: XFVHDL: A Tool for the Synthesis of Fuzzy Logic Controllers. Design Automation and Test in Europe, 102-107 (1998)
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    • Sepúlveda, R., Castillo, O., Melín, P., Díaz, A.R., Montiel, O.: Experimental Study of Intelligent Controllers under Uncertainty using type-1 and type-2 Fuzzy Logic. Information Sciences 177, 2023-2048 (2007)
    • (2007) Information Sciences , vol.177 , pp. 2023-2048
    • Sepúlveda, R.1    Castillo, O.2    Melín, P.3    Díaz, A.R.4    Montiel, O.5
  • 21
    • 51849147796 scopus 로고    scopus 로고
    • Sepúlveda, R., Castillo, O., Melín, P., Montiel, O.: An Efficient Computational Method to implement Type-2 Fuzzy Logic in Control Applications. In: Analysis and Design of Intelligent Systems Using Soft Computing Techniques. Advances in soft computing, 41, pp. 45-52. Springer, Heidelberg (2007)
    • Sepúlveda, R., Castillo, O., Melín, P., Montiel, O.: An Efficient Computational Method to implement Type-2 Fuzzy Logic in Control Applications. In: Analysis and Design of Intelligent Systems Using Soft Computing Techniques. Advances in soft computing, vol. 41, pp. 45-52. Springer, Heidelberg (2007)
  • 23
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    • Performance Evaluation of Fuzzy Operators for FPGA Technology
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    • Iregui, S., Linares, D., Melgarejo, M.: Performance Evaluation of Fuzzy Operators for FPGA Technology. In: NAFIPS 2008, New York (2008)
    • (2008) NAFIPS
    • Iregui, S.1    Linares, D.2    Melgarejo, M.3
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    • Sánchez-Solano, S., Senhadji, R., Cabrera, A., Baturone, I., Jiménez, C.J., Barriga, A.: Prototyping of Fuzzy Logic Based Controllers Using Standard FPGA Development Boards. In: 13th IEEE International Workshop on Rapid System Prototyping on pp. 25-32 (2002)
    • Sánchez-Solano, S., Senhadji, R., Cabrera, A., Baturone, I., Jiménez, C.J., Barriga, A.: Prototyping of Fuzzy Logic Based Controllers Using Standard FPGA Development Boards. In: 13th IEEE International Workshop on Rapid System Prototyping on Volume, pp. 25-32 (2002)
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    • Design and simulation of the fuzzification stage through the Xilinx System Generator
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    • Maldonado, Y., Montiel, O., Sepuúlveda, R., Castillo, O.: Design and simulation of the fuzzification stage through the Xilinx System Generator. In: Soft Computing for Hybrid Intelligent Systems, vol. 154, pp. 297-305. Springer, Heidelberg (2008)
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    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.