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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
The Structure and Citation Landscape of IEEE Transactions on Fuzzy Systems (1994–2015)
The IEEE Transactions on Fuzzy Systems (TFS) is a reputable international journal in the research domain of computer science and… Expand
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. 
2018
2018
Toward Anthropomorphic Machine Learning
Future intelligent machines will be more human-friendly and human-like, while offering much higher throughput and automation… Expand
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2017
2017
Correlation-based fault-tolerant controller design for MIMO systems under the Youla parameterisation
ABSTRACT This paper develops a correlation-based method into the Youla parameterisation structure for a fault-tolerant controller… Expand
Review
2012
Review
2012
Hybrid expert systems: A survey of current approaches and applications
This paper is a statistical analysis of hybrid expert system approaches and their applications but more specifically… Expand
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2011
2011
An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator
In this paper, an adaptive fuzzy control algorithm is proposed for trajectory tracking of an n-DOF robot manipulator subjected to… Expand
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Highly Cited
2011
Highly Cited
2011
An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field
This paper presents an approach to analyze the thematic evolution of a given research field. This approach combines performance… Expand
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2004
2004
Modelamiento de Sistemas de Inferencia Borrosa Tipo Takagi-Sugeno
General aspects of modeling as an engineering tool are presented in this work. The usefulness of Takagi-Sugeno Fuzzy Inference… Expand
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
1996
1996
On the minimum number of logical clauses inferred from examples
Given two sets of positive and negative examples, the inductive inference problem is to infer a small set of logical clauses… Expand
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