Special Issue "Data Driven Decision-Making under Uncertainty (D3U)"

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

Deadline for manuscript submissions: 15 October 2022.

Special Issue Editors

Prof. Dr. Dragan Marinkovic
E-Mail Website
Guest Editor
Department of Structural Analysis, Technical University of Berlin, Berlin, Germany
Interests: finite element analysis; nano materials; nano technology; materials science; modeling; mathematical modeling; experimentation; ansys; labview
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Samarjit Kar
E-Mail Website
Guest Editor
Prof. Dr. Dragan Pamučar
E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues, 

Data-driven decision making under uncertainty (D3U) practically means extracting data and information, including from Big Data, to make decisions in areas such as emergency response and healthcare to renewable energy. D3U is driven by the advancements afforded through Industry 4.0 worldwide, and the power of hardware handling offered through Cloud and Fog computing and the like. In times of adverse situations, such as the COVID-19 pandemic, crucial issues such as predictive bed allocation, predicting the spread and the stages of the pandemic and so on, have made D3U an inevitable part of life. It is also thus becoming an ardent necessity to deal with challenges such as uncertainty, vagueness, and hesitation in order to come up with rational decisions.

All nations are also striving to achieve eco-environmental conservation, particularly ISO 14000 and ISO 14001, with industries focusing on sustenance and green habits, calling for the furthering of research in these areas.

In this Special Issue, we welcome both conceptual and empirical, as well as qualitative and quantitative research papers that focus on novel ways of exploring private and public data to derive innovative insights in various domains.

Prof. Dr. Dragan Marinkovic
Prof. Dr. Samarjit Kar
Prof. Dr. Dragan Pamučar
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 1800 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 aiding models
  • learning models
  • meta-heuristic algorithms
  • optimization models
  • predictive models
  • uncertain modeling
  • MCDM

Published Papers

This special issue is now open for submission.
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