Published 20.11.2021

Uncertainty and three-way decision in data science

Some of the main objectives of data science are to manage data, to discover knowledge and insights from data, and to use data to support wise decisions and actions. Data are commonly incomplete, inaccurate, or inconsistent, posing a great challenge for any type of data analytics. The theory of three-way decision concerns thinking, problem-solving, and information-processing in threes. By putting uncertainty, three-way decision, data science together, the goal of this special issue is to explore new research initiatives, possibilities, directions on the theories, methods, and tools of uncertainty management and decision-making under uncertainty in data science.

 

This special issue will provide a forum for scholars studying in these areas to contribute and share their achievements. The editors of the special issue invite authors to submit theoretical and empirical papers on these topics.

 

Guest editors:

  • JingTao Yao, University of Regina, Canada
  • Chris Cornelis, Ghent University, Belgium
  • Guoyin Wang, Chongqing University of Posts and Telecommunications, China
  • Yiyu Yao, University of Regina, Canada

 

Why publish in this Special Issue?

Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work. Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues. Special content articles attract 20% more citations in the first 24 months than articles published in regular issues. All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.

 

Manuscript submission information:

Original submissions are due by August 31, 2022 and should be submitted to IJAR website http://www.evise.com/evise/jrnl/IJA by selecting “VSI: Uncertainty & 3WD in DS” as the article type. All submissions should follow the “Guide for Authors” of the journal (https://www.elsevier.com/journals/international-journal-of-approximate-reasoning/0888-613X/guide-for-authors). Early submissions are welcome. We will start the review process once we have your submission. Recommendations will be made as soon as review reports will be received. Authors of conditionally accepted manuscripts are expected to have further reviews and revisions based on reviewers’ comments. Final accepted papers will be published as soon as the final versions are received by the publisher. Therefore, some papers may actually be published before the last deadline (December 15, 2022).

 

Tentative timetable:

  • August 31, 2022. Submission deadline
  • October 15, 2022. First decision notification
  • November 15, 2022. Submission of 1st revision
  • December 15, 2022. Final version submission

 

Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues