A. Jain, C.W. de Silva, and Q.M.J. Wu
[1] C.W. de Silva, Research laboratory for fish processing automation, International Journal of Robotics and Computer-Integrated Manufacturing, 9 (1), 1992, 49–60. doi:10.1016/0736-5845(92)90018-2 [2] R.C. Luo & M.G. Kay, Multi-sensor integration and fusionin intelligent systems, IEEE Trans. on Systems, Man, andCybernetic, 19 (5), 1989, 901–931. doi:10.1109/21.44007 [3] R.R. Yager & A. Kelman, Fusion of fuzzy information withconsiderations for compatibility, partial aggregation and reinforcement, International Journal of Approximate Reasoning,15, 1996, 93–122. doi:10.1016/0888-613X(96)00026-6 [4] E.H. Mamdani, Application of fuzzy logic to approximatereasoning using linguistic synthesis, IEEE Trans. Comp., C-26 (12), 1977, 1182–1192. doi:10.1109/TC.1977.1674779 [5] M. Abdulghafour, T. Chandra, & M.A. Abidi, Data fusionthrough fuzzy logic applied to feature extraction from multi-sensory images, Proc. IEEE Int. Conf. Robotics and Automation, Atlanta, GA, 1993, 359–366. doi:10.1109/ROBOT.1993.292171 [6] C.W. de Silva, Intelligent control: Fuzzy logic applications(Boca Raton, FL: CRC Press, 1995). [7] C.W. de Silva, Control sensors and actuators (EnglewoodCliffs, NJ: Prentice-Hall, 1989). [8] C.W. de Silva & N. Wickramarachchi, Knowledge-based supervisory control system of a fish processing workcell, Part I: System development, Engineering Applications of ArtificialIntelligence,11 (1), 1998, 97–118 doi:10.1016/S0952-1976(97)00065-1 [9] MATLAB fuzzy logic toolbox, Mathworks Inc., Natick, MA1998.
Important Links:
Go Back