Advances in Uncertain Information Fusion
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 8633
Special Issue Editors
Interests: information fusion; intelligent computing; machine learning; data mining; target recognition
Special Issue Information
Dear Colleagues,
Information fusion is the combination of information from multiple sources that aims to draw more comprehensive, specific, and accurate inferences about the world than that are achievable from the individual sources in isolation. This topic is relevant in many areas: target tracking and recognition in battlefield surveillance, sensor fusion in robotics, image fusion in computer vision, expert opinion fusion in risk analysis, and so forth. Since sensor data are inherently noisy and human experience/knowledge is inevitably imprecise, ambiguous, or irrelevant, the right handling of such uncertain data is always at the core of any fusion system. This gives rise to a series of both theoretical and practical challenges with focuses on two aspects: (1) how the uncertainty is expressed or quantified? and (2) how uncertain pieces of information can be aggregated?
This Special Issue will focus on the latest advances in uncertain information fusion. Possible theories for managing uncertain information include, but are not limited to, information theory, probability theory, Bayesian inference, fuzzy sets, random sets, rough sets, possibility theory, and belief functions. Prospective authors are invited to submit their novel and original manuscripts about the theoretical underpinnings or the practical applications of these theories.
Dr. Lianmeng Jiao
Dr. Hang Geng
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 submissions that pass pre-check are 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 2600 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
- information theory
- uncertain modeling
- multi-sensor fusion
- state estimation
- target tracking and recognition
- situation assessment
- fault detection
- image fusion
- pattern analysis
- data mining