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IEEE Transactions on Fuzzy Systems Template

Write in a clean editor, then format for IEEE Transactions on Fuzzy Systems in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the IEEE Transactions on Fuzzy Systems format

IEEE Transactions on Fuzzy Systems is a peer-reviewed journal published by IEEE, covering Fuzzy Logic and Control Systems, Multi-Criteria Decision Making, Stability and Control of Uncertain Systems. Over its lifetime it has published 6,277 papers, which have received 393,640 citations.

PublisherIEEE
Reference styleNumbered (IEEE)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Fuzzy Systems, vol. 12, no. 3, pp. 45–58, 2023.

Formats any DOI in IEEE Transactions on Fuzzy Systems style. No sign-up.

Abbreviation (ISO-4)TFS
Publishes research inFuzzy Logic and Control Systems Multi-Criteria Decision Making Stability and Control of Uncertain Systems Adaptive Control of Nonlinear Systems Fuzzy Systems and Optimization
ISSN1063-6706
Citation impact (2-yr)8.87
h-index255
i10-index4,300
Top institutions publishing hereNortheastern University
Journal websitecis.ieee.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in IEEE Transactions on Fuzzy Systems per year

212
2014
186
2015
251
2016
267
2017
272
2018
389
2019
470
2020
315
2021
373
2022
385
2023
553
2024
343
2025

Citation impact of IEEE Transactions on Fuzzy Systems by publication year

15.3K
2014
11.5K
2015
13.6K
2016
16.9K
2017
18.8K
2018
21K
2019
24.7K
2020
13.7K
2021
13.2K
2022
9.9K
2023
8K
2024
1.2K
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in IEEE Transactions on Fuzzy Systems

Fuzzy logic = computing with words

Lotfi A. Zadeh · 1 May 1996

As its name suggests, computing with words (CW) is a methodology in which words are used in place of numbers for computing and reasoning. The point of this note is that fuzzy logic plays a pivotal role in CW and vice-versa. Thus, as an approximation, fuzzy logic may be equated to CW. There are two…

3,229 citations Cite SaveGo to paper →
Pythagorean Membership Grades in Multicriteria Decision Making

Ronald R. Yager · 20 Aug 2013

We first look at some nonstandard fuzzy sets, intuitionistic, and interval-valued fuzzy sets. We note both these allow a degree of commitment of less then one in assigning membership. We look at the formulation of the negation for these sets and show its expression in terms of the standard complement with respect to the degree…

2,789 citations Cite SaveGo to paper →
Intuitionistic Fuzzy Aggregation Operators

Zeshui Xu · 1 Dec 2007

An intuitionistic fuzzy set, characterized by a membership function and a non-membership function, is a generalization of fuzzy set. In this paper, based on score function and accuracy function, we introduce a method for the comparison between two intuitionistic fuzzy values and then develop some aggregation operators, such as the intuitionistic fuzzy weighted averaging operator,…

2,671 citations Cite SaveGo to paper →
A 2-tuple fuzzy linguistic representation model for computing with words

Luis Martı́nez, Francisco Herrera · 1 Jan 2000

The fuzzy linguistic approach has been applied successfully to many problems. However, there is a limitation of this approach imposed by its information representation model and the computation methods used when fusion processes are performed on linguistic values. This limitation is the loss of information; this loss of information implies a lack of precision in…

2,669 citations Cite SaveGo to paper →
Type-2 fuzzy sets made simple

Jerry M. Mendel, Robert John · 1 Apr 2002

Type-2 fuzzy sets let us model and minimize the effects of uncertainties in rule-base fuzzy logic systems. However, they are difficult to understand for a variety of reasons which we enunciate. In this paper, we strive to overcome the difficulties by: (1) establishing a small set of terms that let us easily communicate about type-2…

2,583 citations Cite SaveGo to paper →

IEEE Transactions on Fuzzy Systems template — frequently asked questions

How do I write a paper in the IEEE Transactions on Fuzzy Systems format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the IEEE Transactions on Fuzzy Systems template. When you export, DocuGuru compiles the paper into the official IEEE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does IEEE Transactions on Fuzzy Systems use?
IEEE Transactions on Fuzzy Systems uses Numbered (IEEE) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Fuzzy Systems, vol. 12, no. 3, pp. 45–58, 2023.
Do I need to know LaTeX to submit to IEEE Transactions on Fuzzy Systems?
No. DocuGuru generates the IEEEtran LaTeX class and compiles the PDF for you in the background, so you get a IEEE-ready IEEE Transactions on Fuzzy Systems document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the IEEE Transactions on Fuzzy Systems template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the IEEE Transactions on Fuzzy Systems format with correct headings, figures, tables, and numbered citations.
Who publishes IEEE Transactions on Fuzzy Systems?
IEEE Transactions on Fuzzy Systems is a engineering and computer science journal published by IEEE. DocuGuru's IEEE Transactions on Fuzzy Systems template matches IEEE's official submission format.
Can I export a submission-ready IEEE Transactions on Fuzzy Systems PDF?
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