Spectrum of Decision Making and Applications

Spectrum of Decision Making Applications publishes high-quality scientific papers that contribute significantly to the fields of decision-making. The material published is of high quality and relevance, written in a manner that makes it accessible to this wide-ranging readership. Spectrum of Decision Making Applications is an international peer-reviewed journal covering the main aspects of decision-making and providing a source of information for applied scientists.

Spectrum of Decision Making Applications promote research that can help decision-makers make the best choice by means of various optimization models. We invite research that supports the joint application of predictive models and optimization technology to create better solutions for decision-makers. Spectrum of Decision Making Applications invite research that utilizes the latest techniques in data mining, analysis, and performance management to help decision-makers gain and sustain a competitive edge.

Spectrum of Decision Making Applications aims at this important task by providing a venue for high-quality scientific papers that contribute significantly to the field of decision science. 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.

Spectrum of Decision Making Applications 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 Spectrum of Decision Making Applications 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 have not 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 decision science. 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): 3042-1462

Publication fee: Free of charge.

Publishers:

• Scientific Oasis

Indexing:

• Google Scholar;
• ROAD;
• COBISS;
• Crossref;
• doiSerbia