Jerry Mendel, 6-21.jpg

Although retired, I am still a very active researcher working with people around the World, mainly on topics related to type-2 fuzzy sets and systems and the Perceptual Computer.

Supplemental Materials for 2019
IEEE Computational Intelligence Magazine Article

HOT TOPICS

"Uncertain Rule-Based Fuzzy Systems" 

2nd Edition

2017

RECENT ARTICLES

1.  J. M. Mendel, “Explaining the performance potential of rule-based fuzzy systems as a greater sculpting of the    state  space,” + Supplementary Material (SM), IEEE Trans. on Fuzzy Systems, vol. 26, pp. 2362–2373, August 2018.

2.  J. M. Mendel, “Comparing the performance potentials of interval and general type-2 rule-based fuzzy systems in terms of sculpting the state space,”+ SM, IEEE Trans. on Fuzzy Systems, Vol. 27, pp. 58–71, Jan. 2019.

3.  J. M. Mendel, R. Chimatapu and H. Hagras, “Comparing the performance potentials of singleton and non-singleton type-1 and interval type-2 fuzzy systems in terms of sculpting the state space, + SM, IEEE Trans. on Fuzzy Systems, vol. 28, no. 4, pp. 783–794, April 2020.

4.  J. M. Mendel, I Eyoh and R. John, “Comparing performance potentials of classical and intuitionistic fuzzy systems in terms of sculpting the state space,” + SM, IEEE Trans. on Fuzzy Systems, vol. 28, no. 9, pp. 2244–2254, Sept. 2020

J. M. Mendel, “Adaptive variable-structure basis function expansions: Candidates for machine learning,” Information Sciences, vol. 496, pp. 124–149, 2019.

J. M. Mendel, “Type-2 fuzzy sets as well as computing with words,” IEEE Computational Intelligence Magazine, vol. 14, pp. 82–95, Feb. 2019.

J. M. Mendel and P. P. Bonissone, "Critical thinking about explainable AI (XAI) for rule-based fuzzy systems," IEEE Trans. on Fuzzy Systems, vol. 29, no. 12, pp. 3579–3593, Dec. 2021.