Taylor & Francis

Fuzzy Information and Engineering Template

Write in a clean editor, then format for Fuzzy Information and Engineering in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Fuzzy Information and Engineering format

Fuzzy Information and Engineering is a peer-reviewed journal published by Taylor & Francis, covering Multi-Criteria Decision Making, Fuzzy and Soft Set Theory, Fuzzy Systems and Optimization.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Fuzzy Information and Engineering 12 (3): 45–58.

Formats any DOI in Fuzzy Information and Engineering style. No sign-up.

Publishes research inMulti-Criteria Decision Making Fuzzy and Soft Set Theory Fuzzy Systems and Optimization Fuzzy Logic and Control Systems Optimization and Mathematical Programming
ISSN1616-8658
Citation impact (2-yr)0.79
h-index36
i10-index161
Total citations5,140
Article processing charge$472
Open accessYes
Top institutions publishing hereUniversity of Mazandaran
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Fuzzy Information and Engineering per year

31
2014
32
2015
30
2016
31
2017
32
2018
30
2019
32
2020
33
2021
25
2022
24
2023
28
2024
31
2025

Citation impact of Fuzzy Information and Engineering by publication year

351
2014
596
2015
506
2016
573
2017
395
2018
124
2019
269
2020
246
2021
180
2022
67
2023
38
2024
19
2025

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

Most-cited papers in Fuzzy Information and Engineering

Fuzzy <i>k</i>-Competition Graphs and <i>p</i>-Competition Fuzzy Graphs

Sovan Samanta, Madhumangal Pal · 24 May 2013

Fuzzy competition graph as a generalization of competition graph is introduced here. Two generalizations of fuzzy competition graph as fuzzy k-competition graphs and p-competition fuzzy graphs are also defined. These graphs are related to fuzzy digraphs. Fuzzy neighbourhood graphs, related to fuzzy graphs, are also defined here. Besides, some relations between fuzzy competition graphs and…

Multi-fuzzy Sets: An Extension of Fuzzy Sets

Sabu Sebastian, T. V. Ramakrishnan · 1 Mar 2011

Abstract In this paper we propose a method to construct more general fuzzy sets using ordinary fuzzy sets as building blocks. We introduce the concept of multi-fuzzy sets in terms of ordered sequences of membership functions. The family of operations T, S, M of multi-fuzzy sets are introduced by coordinate wise t-norms, s-norms and aggregation…

Operations on Soft Graphs

Muhammad Akram, Saira Nawaz · 1 Dec 2015

Mathematical modelling, analysis and computing of problems with uncertainty is one of the hottest areas in interdisciplinary research involving applied mathematics, computational intelligence and decision sciences. It is worth noting that uncertainty arises from various domains has very different nature and cannot be captured within a single mathematical framework. Molodtsov’s soft sets provide us a…

A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model

Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand · 2 Jan 2022

Recommender systems have been pervasively applied as a technique of suggesting travel recommendations to tourists. Actually, recommendation systems significantly contribute to the decision-making process of tourists. A new approach of recommendation systems in the tourism industry by a combination of the Artificial Bee Colony (ABC) algorithm and Fuzzy TOPSIS is proposed in the present paper.…

Accuracy Improvement for Diabetes Disease Classification: A Case on a Public Medical Dataset

Mehrbakhsh Nilashi, Othman Ibrahim, Mohammad Reza Dalvi et al. · 1 Sep 2017

As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. Providing diagnostic aid for diabetes disease by using a set of data that contains only medical information obtained without advanced medical equipment, can help numbers of people who want to discover the disease or the risk of disease at an early stage. This…

Fuzzy Information and Engineering template — frequently asked questions

How do I write a paper in the Fuzzy Information and Engineering format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Fuzzy Information and Engineering template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Fuzzy Information and Engineering use?
Fuzzy Information and Engineering uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Fuzzy Information and Engineering 12 (3): 45–58.
Do I need to know LaTeX to submit to Fuzzy Information and Engineering?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Fuzzy Information and Engineering 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 Fuzzy Information and Engineering template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Fuzzy Information and Engineering format with correct headings, figures, tables, and author–year citations.
Who publishes Fuzzy Information and Engineering?
Fuzzy Information and Engineering is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Fuzzy Information and Engineering template matches Taylor & Francis's official submission format.
Can I export a submission-ready Fuzzy Information and Engineering PDF?
Yes — DocuGuru produces a PDF built with the official Fuzzy Information and Engineering template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Fuzzy Information and Engineering template cost?
You can start writing in the Fuzzy Information and Engineering template for free. Exporting the final submission-ready Fuzzy Information and Engineering PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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