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IEEE Transactions on Fuzzy Systems

IEEE Transactions on Fuzzy Systems is a bimonthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It… Expand
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Computational intelligenceFuzzy control systemJournal Citation Reports

Papers overview

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Review
2018
Review
2018
Editorial Celebrating 25 Years of the IEEE Transactions on Fuzzy Systems
Presents a brief historical review of the various Editors in Chief of the IEEE Transactions on Fuzzy Systems. 
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2016
2016
Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation
This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems… Expand
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2016
2016
Call for Nominations\/Applications: Editor-in-Chief of IEEE Transactions on Fuzzy Systems Society Briefs
Presents information on a call for nominations for an Editor-in-Chief for the IEEE Transactions on Fuzzy Systems. 
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Highly Cited
2010
Highly Cited
2010
Robust $H_{\infty }$ Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements
In this paper, the robust H∞-control problem is investigated for a class of uncertain discrete-time fuzzy systems with both… Expand
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2010
2010
February 2010 | Ieee Computational Intelligence Magazine 5 Spotlight Publication Publication Publication Cis Publication Spotlight Ieee Transactions on Neural Networks Ieee Transactions on Fuzzy…
Digital Object Identifier: 10.1109/ TNN.2009.2025946 “Convergence analysis of the online BP training algorithm was proved using… Expand
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Highly Cited
2009
Highly Cited
2009
A new approach based on artificial neural networks for high order multivariate fuzzy time series
Fuzzy time series methods have been recently becoming very popular in forecasting. These methods can be categorized into two… Expand
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2009
2009
Preprint submitted to IEEE Transactions on Fuzzy Systems A TRIANGULATION APPROACH TO ASSYMPTOTICALLY EXACT CONDITIONS FOR FUZZY SUMMATIONS
Many Takagi-Sugeno fuzzy control-synthesis problems in literature are expressed as the problem of finding decision variables in a… Expand
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Highly Cited
2009
Highly Cited
2009
A genetic fuzzy k-Modes algorithm for clustering categorical data
The fuzzy k-Modes algorithm introduced by Huang and Ng [Huang, Z., & Ng, M. (1999). A fuzzy k-modes algorithm for clustering… Expand
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Highly Cited
2008
Highly Cited
2008
Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers
In this paper, we present a new method for handling fuzzy risk analysis problems based on measures of similarity between interval… Expand
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Highly Cited
2004
Highly Cited
2004
Mass lesion detection with a fuzzy neural network
Abstract This paper presents a novel fuzzy neural network (FNN) approach to detect malignant mass lesions on mammograms. The FNN… Expand
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