We have developed an expanded and richer fuzzy logic---type-2 fuzzy logic---that lets a broad range of uncertainties be directly modeled within the framework of fuzzy logic, something that can not be done within the framework of traditional (type-1) fuzzy logic. We have focused on all sorts of interesting theoretical, design and application issues for type-2 fuzzy logic systems. For more details see: http://sipi.usc.edu/~mendel.
Ph.D. in Electrical Engineering, 1963, Polytechnic Institute of Brooklyn, NY.
- Fellow of the IEEE. Distinguished Member of the IEEE Control Systems Society.
- Tau Beta Pi.
- Pi Tau Sigma.
- Sigma Xi.
- SEG 1976 Outstanding Presentation Award for a paper on the application of Kalman Filtering to deconvolution, 1976.
- Best Transactions Paper Award for a paper on maximum-likelihood deconvolution in the IEEE Trans. on Geoscience and Remote Sensing, 1983.
- Signal Processing Society Paper Award for a paper on identification of nonminimum phase systems using higher-order statistics in the IEEE Trans. on Acoustics, Speech, and Signal Processing, 1992.
- Neural Network Society Best Paper Award for a paper on type-2 fuzzy logic systems in the IEEE Trans. on Fuzzy Systems, 1999.
- Phi Kappa Phi book award for 1983 research monograph on seismic deconvolution.
- Burlington Northern Faculty Achievement Award, 1995.
- IEEE Centenniel Medal, 1984.
- President of the IEEE Control Systems Society in 1986.
- Service Award from the School of Engineering at USC, 1993.
- IEEE Third Millenium Medal, 2000.
- Special Education Award from the School of Engineering at USC, 2002.
Research Centers and Institutes: