World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
101
Citations
63141
World Ranking
348
National Ranking
190

Research.com Recognitions

  • 1978 - IEEE Fellow For contributions to system identification, state estimation, and their application to aerospace technology.

Overview

Jerry M. Mendel is affiliated with the University of Southern California in the United States. Their work spans multiple aspects of computer science and mathematics, focusing primarily on artificial intelligence and statistical methods.

The main fields of study related to their research include:

  • Computer Science
  • Mathematics

The subfields of study they have contributed to are:

  • Artificial Intelligence
  • Statistics and Probability
  • Management Science and Operations Research
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

The topics explored by Jerry M. Mendel cover various domains such as:

  • Fuzzy Logic and Control Systems
  • Fuzzy Systems and Optimization
  • Neural Networks and Applications
  • Multi-Criteria Decision Making
  • Rough Sets and Fuzzy Logic
  • Bayesian Modeling and Causal Inference
  • Advanced Image and Video Retrieval Techniques

The scientist has published research papers in several venues, predominantly in IEEE Transactions on Fuzzy Systems. Frequent publication venues are:

  • IEEE Transactions on Fuzzy Systems
  • Information Sciences
  • IEEE Computational Intelligence Magazine
  • Fuzzy Sets and Systems
  • arXiv (Cornell University)

Some recently published papers authored by Jerry M. Mendel include:

  • Critical Thinking About Explainable AI (XAI) for Rule-Based Fuzzy Systems, 2021, IEEE Transactions on Fuzzy Systems
  • Towards Systematic Design of General Type-2 Fuzzy Logic Controllers: Analysis, Interpretation, and Tuning, 2020, IEEE Transactions on Fuzzy Systems
  • Alpha-cut representation used for defuzzification in rule-based systems, 2020, Fuzzy Sets and Systems
  • A Comprehensive Study of the Efficiency of Type-Reduction Algorithms, 2020, IEEE Transactions on Fuzzy Systems
  • Type-1 and Interval Type-2 Fuzzy Systems [AI-eXplained], 2023, IEEE Computational Intelligence Magazine

Throughout their career, Jerry M. Mendel has collaborated frequently with several co-authors. These include:

  • Dongrui Wu
  • Robert John
  • Chao Chen
  • Jonathan M. Garibaldi
  • Piero P. Bonissone

Their contributions have been recognized in the form of awards such as being named an IEEE Fellow in 1978, acknowledging their work in system identification, state estimation, and applications to aerospace technology.

Best Publications

  • Generating fuzzy rules by learning from examples

    L.-X. Wang;J.M. Mendel

  • Fuzzy basis functions, universal approximation, and orthogonal least-squares learning

    L.-X. Wang;J.M. Mendel

  • Fuzzy logic systems for engineering: a tutorial

    J.M. Mendel

  • Type-2 fuzzy sets made simple

    J.M. Mendel;R.I.B. John

  • Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions

    Jerry M. Mendel

  • Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications

    J.M. Mendel

  • Interval Type-2 Fuzzy Logic Systems Made Simple

    J.M. Mendel;R.I. John;F. Liu

  • Interval type-2 fuzzy logic systems: theory and design

    Qilian Liang;J.M. Mendel

  • Type-2 fuzzy logic systems

    N.N. Karnik;J.M. Mendel;Qilian Liang

  • Centroid of a type-2 fuzzy set

    Nilesh N. Karnik;Jerry M. Mendel

  • Signal processing with higher-order spectra

    C.L. Nikias;J.M. Mendel

  • Type-2 fuzzy sets and systems: an overview

    J. M. Mendel

  • Lessons in Estimation Theory for Signal Processing, Communications, and Control

    Jerry M. Mendel

  • Operations on type-2 fuzzy sets

    Nilesh N. Karnik;Jerry M. Mendel

  • Advances in type-2 fuzzy sets and systems

    Jerry M. Mendel

  • Introduction to type-2 fuzzy logic systems

    N.N. Karnik;J.M. Mendel

  • Identification of nonminimum phase systems using higher order statistics

    G.B. Giannakis;J.M. Mendel

  • Back-propagation fuzzy system as nonlinear dynamic system identifiers

    L.-X. Wang;J.M. Mendel

  • Enhanced Karnik--Mendel Algorithms

    Dongrui Wu;J.M. Mendel

  • Maximum-likelihood classification for digital amplitude-phase modulations

    Wen Wei;J.M. Mendel

  • Perceptual Computing: Aiding People in Making Subjective Judgments

    Jerry Mendel;Dongrui Wu

Frequent Co-Authors

Dongrui Wu
Dongrui Wu Huazhong University of Science and Technology
Hani Hagras
Hani Hagras University of Essex
Robert John
Robert John University of Nottingham
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Qilian Liang
Qilian Liang The University of Texas at Arlington
Hao Ying
Hao Ying Wayne State University
John Goutsias
John Goutsias Johns Hopkins University
Chong-Yung Chi
Chong-Yung Chi National Tsing Hua University
Thomas Kailath
Thomas Kailath Stanford University
Lotfi A. Zadeh
Lotfi A. Zadeh University of California, Berkeley

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