Special Issue "Information Theories Based on Belief Functions for Decision-Making Support"
Deadline for manuscript submissions: 15 December 2019
The field of information fusion has been developed and explored very much in the last two decades due to its multiple practical applications in target tracking, situation analysis, drones, target identification, etc.
We invite you to submit state-of-the-art papers on information fusion theories and their applications.
Information fusion is involved in almost all modern information systems dealing with multiple sources, as well as at low level fusion (sensors level) or at high level (human level), or both. Its requirement is primordial for reliability and security improvement purposes, and that is why it has been developed and explored intensively in the last two decades. Its practical applications are multiple, e.g., for situation analysis, target tracking and identification, biometrics, network surveillance, medicine, remote sensing, robot perception, etc. This Special Issue is devoted to information theories (typically Dempster–Shafer theory, Dezert–Smarandache theory, transferable belief model, etc.) dealing with uncertainty thanks to the belief functions representation for information fusion, information/uncertainty characterization (e.g., entropy-alike measures) and for decision-making support. You are welcome to submit your state-of-the-art papers and original research papers related to these Special Issue topics.
Prof. Florentin Smarandache
Dr. Jean Dezert
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. Entropy is an international peer-reviewed open access monthly 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 1600 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.
- Dempster–Shafer theory (DST) and applications
- Dezert–Smarandache theory (DSmT) and applications (http://fs.unm.edu/DSmT.htm)
- Transferable belief model (TBM) and applications
- Fusion rules
- Static and dynamic fusion
- Qualitative fusion
- Quantitative fusion
- Fusion of highly conflicting sources of information
- Situation analysis
- Multiple sources of information
- Image classification
- Approximate reasoning
- Probabilistic transformation
- Data classification and clustering
- Information theories
- Quantitative and qualitative entropies
- Entropies-alike measures