Special Issue "Artificial Intelligence with Applications of Soft Computing"

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: 31 August 2021.

Special Issue Editors

Prof. Dr. Daniel Gómez Gonzalez
Guest Editor
Facultad de Estudios Estadísticos, Universidad Complutense, Avenida Puerta de Hierro s/n, 28040 Madrid, Spain
Interests: data Science; fuzzy sets; aggregation, decision making problems; cooperative game theory; social network analysis; machine learning and image processing
Prof. Dr. Javier Montero
Guest Editor
Faculty of Mathematics, Complutense University, Madrid 2840, Spain
Interests: preference representation; group decision making; multicriteria decision making; fuzzy decision making; fuzzy classification; fuzzy modeling
Prof. Dr. Tinguaro Rodriguez
Guest Editor
1. Faculty of Mathematics, Complutense University of Madrid, 28040 Madrid, Spain
2. Interdisciplinary Mathematics Institute, Complutense University of Madrid, 28040 Madrid, Spain
Interests: fuzzy logic; machine learning; social network analysis; aggregation operators; decision theory; bipolar knowledge representation; humanitarian logistics

Special Issue Information

Dear Colleagues,

Artificial intelligence, machine learning, data science, data analytics, and big data are one of the hottest disciplines at present. Additionally, the term ‘soft computing’ is closely related to ‘computational intelligence’ and necessary to deal with many of the previous disciplines.

We invite authors to submit original research articles and high-quality review articles in areas of interest including but not limited to the following within soft computing/computational intelligence: fuzzy sets, fuzzy logic, aggregation, decision process, preference modeling, neural networks, bio-inspired computation, learning theory, probability theory, hybrid methods, or rough sets. The applications of soft computing methods/techniques in computer science, engineering, image processing, manufacturing, supply chain, logistics, biomedicine, healthcare, data analysis, and big data analytics are also welcome.

Prof. Dr. Daniel Gómez Gonzalez
Prof. Dr. Javier Montero
Prof. Dr. Tinguaro Rodriguez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • artificial intelligence
  • soft computing
  • machine learning
  • preference modeling
  • image processing
  • fuzzy sets
  • aggregation
  • classification
  • fuzzy logic
  • decision support systems
  • machine learning
  • network analysis
  • rough sets

Published Papers (1 paper)

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Open AccessArticle
Community Detection Problem Based on Polarization Measures: An Application to Twitter: The COVID-19 Case in Spain
Mathematics 2021, 9(4), 443; https://doi.org/10.3390/math9040443 - 23 Feb 2021
Viewed by 131
In this paper, we address one of the most important topics in the field of Social Networks Analysis: the community detection problem with additional information. That additional information is modeled by a fuzzy measure that represents the risk of polarization. Particularly, we are [...] Read more.
In this paper, we address one of the most important topics in the field of Social Networks Analysis: the community detection problem with additional information. That additional information is modeled by a fuzzy measure that represents the risk of polarization. Particularly, we are interested in dealing with the problem of taking into account the polarization of nodes in the community detection problem. Adding this type of information to the community detection problem makes it more realistic, as a community is more likely to be defined if the corresponding elements are willing to maintain a peaceful dialogue. The polarization capacity is modeled by a fuzzy measure based on the JDJpol measure of polarization related to two poles. We also present an efficient algorithm for finding groups whose elements are no polarized. Hereafter, we work in a real case. It is a network obtained from Twitter, concerning the political position against the Spanish government taken by several influential users. We analyze how the partitions obtained change when some additional information related to how polarized that society is, is added to the problem. Full article
(This article belongs to the Special Issue Artificial Intelligence with Applications of Soft Computing)
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