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Vol. 2 No. 1 (2024): Journal of Soft Computing and Decision Analytics
					View Vol. 2 No. 1 (2024): Journal of Soft Computing and Decision Analytics
Published: 2024-01-01

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Journal of Soft Computing and Decision Analytics publishes high-quality scientific papers that contribute significantly to the fields of soft computing techniques, heuristics, fuzzy set theory and it’s generalizations, fuzzy systems, decision analytics and artificial intelligence. The material published is of high quality and relevance, written in a manner that makes it accessible to this wide-ranging readership. Journal of Soft Computing and Decision Analytics is an international peer-reviewed journal covering the main aspects of soft computing and decision science and providing a source of information for applied scientists.

Journal of Soft Computing and Decision Analytics encourages the integration of soft computing techniques and decision-making tools into both real-world and advanced applications. 

Journal of Soft Computing and Decision Analytics aims at this important task by providing a venue for high-quality scientific papers that contribute significantly to the field of soft computing, decision analytics and artificial intelligence. The material published is of high quality and relevance, written in a manner that makes it accessible to a wide-ranging readership. Papers reporting original theoretical and/or practice-oriented research or extended versions of the already published conference papers are all welcome. The scope of the journal covers the whole spectrum of decision science. Papers for publication are selected through a double-blind peer-review process to ensure originality, relevance, and readability. In doing that, the objective is not only to keep the quality of published papers high but also to provide a timely, thorough, and balanced review process.

General Journal guidelines for authors

Journal of Soft Computing and Decision Analytics publishes research articles, reviews, short communications, and case studies. Research articles must include: motivation for the work, an adequate overview of the representative work in the field including up-to-date references, a clear statement of the novelty in the presented research, suitable theoretical background, one or more examples to demonstrate and discuss the presented ideas and, finally, conclusions. Short communications are usually 4-7 pages long, research articles and case studies 8-14 pages, while reviews can be longer. Page number limits are not strict and, with appropriate reasoning, the submitted articles can also be longer or shorter. Authors are requested to follow the Journal of Soft Computing and Decision Analytics guidelines and strictly format their manuscripts as per the article template that is available here.

If extensions of previously published conference papers are submitted, Editors will check if sufficient new material has been added to fulfill the journal standards and qualify the submission for the review process. The added material must not have been previously published. New results are desired but not necessarily required; however, the submission should contain expansions of key ideas, examples, elaborations, etc. of the conference submission.

Aims and Scope: The principal aim of the journal is to bring together the latest research and development in various fields of soft computing, decision analytics and artificial intelligence. We would like to highlight that papers should refer to Aims and scope, but they are not limited to.

Publication Frequency: One issue per year is published online, but processed and accepted papers, with full bibliographic data, are added to the issue continuously over the whole year.

Open Access: This is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.

eISSN (Online): 3009-3481

Publication fee: Free of charge.

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