Particle swarm optimization for average approximation of interval type-2 fuzzy inference systems design in FPGAs for real applications

Studies in Computational Intelligence

Volumn 451, Issue , 2013, Pages 33-49

  Maldonado, Yazmin ^a   Castillo, Oscar ^a   Melin, Patricia ^a  

^a TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84870538940     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-33021-6_3     Document Type: Article

References (10)

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5. Mendel, J.M.: Uncertainty Rule Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall, Upper-Saddle River (2001
6. Mendel, J.M.: Type-2 Fuzzy Sets and Systems: An Overview. IEEE Computational Intelligence Magazine 2, 20-29 (2007
7. Montiel, O., Sepúlveda, R., Maldonado, Y., Castillo, O.: Design and Simulation of the Type-2 Fuzzification Stage: Using Active Membership Functions. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds.) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. SCI, vol. 257, pp. 273-293. Springer, Heidelberg (2009
8. Sepulveda, R., Castillo, O., Melin, P., Montiel, O.: An Efficient Computational Method to Implement Type-2 Fuzzy Logic in Control Applications Analysis and Design of Intelligent Systems Using Soft Computing Techniques. In: Advances in Soft Computing, vol. 41, pp. 45-52. Springer (2007
9. Sepulveda, R., Montiel, O., Olivas, J.A., Castillo, O.: Methodology to Test and Validate a VHDL Inference Engine of a Type-2 FIS, Through the Xilinx System Generator. In: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control, pp. 295-308. Springer (2009
10. Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338-353 (1965