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Soft Computing Methods and Applications for Decision Making
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
Soft computing techniques, such as neural networks and fuzzy sets, are able to represent the foundations of decision-making processes, and hence, can solve general decision problems. Neural networks provide powerful architectures for solving complex problems, while fuzzy sets offer general means for preference modeling under uncertainty. This Special Issue focuses on “Soft Computing Methods and Applications for Decision Making”, with an emphasis on knowledge representation, and reliable, interpretable and replicable algorithms. It will be a collection of review papers, research articles and communications on theoretical aspects and real-world applications. Models based on nonclassical assumptions are particularly welcome, presenting theoretical results and applications of soft computing, machine and deep learning models that aim to describe learning processes and decision systems. Special attention will be given to the theory and application of statistical data modeling and machine learning in diverse challenging areas such as energy, environmental sciences and medicine.
Dr. Camilo Franco
Prof. Dr. Jens Leth Hougaard
Prof. Dr. Pedro Melo-Pinto
Dr. Tinguaro Rodriguez
Prof. Dr. Daniel Gómez Gonzalez
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences 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 2400 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.
Keywords
- decision modeling
- machine learning
- soft computing
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