Example of Advances in Fuzzy Systems format
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Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format
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Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format Example of Advances in Fuzzy Systems format
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open access Open Access

Advances in Fuzzy Systems — Template for authors

Publisher: Hindawi
Categories Rank Trend in last 3 yrs
Computational Mathematics #49 of 152 up up by 47 ranks
Control and Optimization #39 of 111 up up by 15 ranks
Control and Systems Engineering #108 of 260 up up by 44 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 93 Published Papers | 286 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 09/06/2020
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Related Journals

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Quality:  
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

3.1

41% from 2019

CiteRatio for Advances in Fuzzy Systems from 2016 - 2020
Year Value
2020 3.1
2019 2.2
2018 1.3
2017 1.2
2016 1.5
graph view Graph view
table view Table view

0.38

41% from 2019

SJR for Advances in Fuzzy Systems from 2016 - 2020
Year Value
2020 0.38
2019 0.269
2018 0.319
2017 0.161
2016 0.261
graph view Graph view
table view Table view

0.977

11% from 2019

SNIP for Advances in Fuzzy Systems from 2016 - 2020
Year Value
2020 0.977
2019 1.097
2018 0.966
2017 0.43
2016 0.6
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 41% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 41% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 11% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Advances in Fuzzy Systems

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Hindawi

Advances in Fuzzy Systems

Advances in Fuzzy Systems is an international journal which aims to provide a forum for original research articles in the theory and applications of fuzzy subsets and systems. The goal of the journal is to help promote the advances in the development and practice of fuzzy syst...... Read More

Mathematics

i
Last updated on
09 Jun 2020
i
ISSN
1687-7101
i
Impact Factor
Medium - 0.617
i
Acceptance Rate
8%
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. “Specular andreev reflection in graphene”. Phys. Rev. Lett., vol. 97, no. 6, 067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1155/2009/586507
On fuzzy soft sets
B. Ahmad1, Athar Kharal1

Abstract:

We further contribute to the properties of fuzzy soft sets as defined and studied in the work of Maji et al. (2001), Roy and Maji (2007), and Yang et al. (2007) and support them with examples and counterexamples. We improve Proposition 3.3 by Maji et al., (2001). Finally we define arbitrary fuzzy soft union and fuzzy soft int... We further contribute to the properties of fuzzy soft sets as defined and studied in the work of Maji et al. (2001), Roy and Maji (2007), and Yang et al. (2007) and support them with examples and counterexamples. We improve Proposition 3.3 by Maji et al., (2001). Finally we define arbitrary fuzzy soft union and fuzzy soft intersection and prove DeMorgan Inclusions and DeMorgan Laws in Fuzzy Soft Set Theory. read more read less

Topics:

Fuzzy logic (54%)54% related to the paper
View PDF
745 Citations
open accessOpen access Journal Article DOI: 10.1155/2013/581879
Real-life applications of fuzzy logic

Abstract:

1 Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA 2 Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A9 3 Electrified Armor Lab, RDECOM TARDEC, 6501 E. 11 Mile Road, RDTA-RS, MS 263, Warren, MI 48397-5000, ... 1 Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA 2 Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A9 3 Electrified Armor Lab, RDECOM TARDEC, 6501 E. 11 Mile Road, RDTA-RS, MS 263, Warren, MI 48397-5000, USA 4Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100190, China 5Manipal University Jaipur, Jaipur 303007, India 6Maverick Technologies America Inc., Suite 808, 1220 North Market Street, Wilmington, DE 19801, USA 7Department of Electrical Engineering and Computer Sciences, University of California Berkeley, CA 94720-1776, USA read more read less

Topics:

Engineering education (52%)52% related to the paper
View PDF
157 Citations
open accessOpen access Journal Article DOI: 10.1155/2009/407890
Mappings on fuzzy soft classes
Athar Kharal1, B. Ahmad2

Abstract:

We define the concept of a mapping on classes of fuzzy soft sets and study the properties of fuzzy soft images and fuzzy soft inverse images of fuzzy soft sets, and support them with examples and counterexamples. We define the concept of a mapping on classes of fuzzy soft sets and study the properties of fuzzy soft images and fuzzy soft inverse images of fuzzy soft sets, and support them with examples and counterexamples. read more read less

Topics:

Fuzzy set operations (70%)70% related to the paper, Fuzzy classification (67%)67% related to the paper, Fuzzy number (67%)67% related to the paper, Defuzzification (66%)66% related to the paper, Membership function (63%)63% related to the paper
View PDF
121 Citations
open accessOpen access Journal Article DOI: 10.1155/2017/7094046
An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques

Abstract:

In this work an extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of FPCM algorithm. With the purpose of observing the performance of the proposal against the Interval Type-2 Fuzzy C-Means algorithm, several exper... In this work an extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of FPCM algorithm. With the purpose of observing the performance of the proposal against the Interval Type-2 Fuzzy C-Means algorithm, several experiments were made using both algorithms with well-known datasets, such as Wine, WDBC, Iris Flower, Ionosphere, Abalone, and Cover type. In addition some experiments were performed using another set of test images to observe the behavior of both of the above-mentioned algorithms in image preprocessing. Some comparisons are performed between the proposed algorithm and the Interval Type-2 Fuzzy C-Means (IT2FCM) algorithm to observe if the proposed approach has better performance than this algorithm. read more read less

Topics:

Fuzzy number (67%)67% related to the paper, Fuzzy classification (66%)66% related to the paper, Fuzzy set operations (65%)65% related to the paper, Fuzzy logic (64%)64% related to the paper, Defuzzification (63%)63% related to the paper
View PDF
101 Citations
open accessOpen access Journal Article DOI: 10.1155/2018/9094380
Fuzzy Analytical Hierarchy Process Method to Determine the Quality of Gemstones
Mochammad Sobandi Dwi Putra1, Septi Andryana1, Fauziah1, Aris Gunaryati1

Abstract:

The selection of quality gemstones requires a special ability to select and assess the quality of gemstones to be traded. The diversity of types of gemstones and consumers becomes an obstacle in itself when the knowledge and ability of individuals to analyze the quality of gemstones is minimal. The decision-making method used... The selection of quality gemstones requires a special ability to select and assess the quality of gemstones to be traded. The diversity of types of gemstones and consumers becomes an obstacle in itself when the knowledge and ability of individuals to analyze the quality of gemstones is minimal. The decision-making method used is Fuzzy Analytical Hierarchy Process (F-AHP) method which is widely used in various sectors. F-AHP is easy to adapt to many decision issues; the research proposes a decision-making system using the F-AHP algorithm to analyze the quality of gemstones. The results obtained with the use of F-AHP model in the selection of quality gemstones show the highest quality of gemstones of all stones compared, Rubi 1, with a weight value of 0.152942. read more read less

Topics:

Quality (business) (50%)50% related to the paper
View PDF
72 Citations
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Advances in Fuzzy Systems format uses unsrt citation style.

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Yes, the template is compliant with the Advances in Fuzzy Systems guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Advances in Fuzzy Systems?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Advances in Fuzzy Systems citation style.

4. Can I use the Advances in Fuzzy Systems templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Advances in Fuzzy Systems.

5. Can I use a manuscript in Advances in Fuzzy Systems that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Advances in Fuzzy Systems that you can download at the end.

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It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Advances in Fuzzy Systems.

7. Where can I find the template for the Advances in Fuzzy Systems?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Advances in Fuzzy Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Advances in Fuzzy Systems's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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SciSpace's Advances in Fuzzy Systems is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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After writing your paper autoformatting in Advances in Fuzzy Systems, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Advances in Fuzzy Systems's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Advances in Fuzzy Systems?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Advances in Fuzzy Systems. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Advances in Fuzzy Systems?

The 5 most common citation types in order of usage for Advances in Fuzzy Systems are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Advances in Fuzzy Systems?

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16. Can I download Advances in Fuzzy Systems in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Advances in Fuzzy Systems Endnote style according to Elsevier guidelines.

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