Special Issue "New Trends in Fusion Processes Based on Aggregation and Pre-aggregation Functions: Theory and Applications"
Deadline for manuscript submissions: closed (10 January 2023) | Viewed by 7661
Interests: mathematical computing; fuzzy logic; fuzzy set theory; fuzzy systems
Interests: fuzzy logic; interval mathematics; formal languages; classification and clustering data
Special Issues, Collections and Topics in MDPI journals
We have the intention of launching a Special Issue of Axioms. The central topic in the Special Issue will be “Aggregation and Pre-Aggregation Functions”, but not only in the fuzzy environment since we are also interested in the new trend of fusion processes beyond the unit interval.
The search for new information on fusion techniques is currently a hot topic in almost every research field, from image processing and decision making to deep learning and neurosciences. This interest has led to a new analysis of the notion of aggregation function, as well as to the introduction of new concepts that go beyond usual aggregation functions, either by considering more general definitions (e.g., considering weaker forms of monotonicity, as directional monotonicity and ordered directional monotonicity), or by extending them to other frameworks different from that of the unit interval (e.g., intervals, lattices, any closed real interval). The study of such generalizations has led to more flexibility in applications, from the control of the uncertainty to novel forms of fusion data.
Among the topics that this Special Issue will address, we may consider the following non-exhaustive list: aggregation functions; pre-aggregation functions; directional monotonicity; ordered directional monotonicity; new generalizations of monotonicity; aggregation and pre-aggregation functions on bounded posets and/or lattices; aggregation and pre-aggregation functions on arbitrary closed intervals; interval-valued aggregation and pre-aggregation functions; fuzzy integrals and their generalizations; restricted dissimilarity/equivalence functions; generalized forms of t-norms/t-conorms, overlap/grouping functions, uninorms, fuzzy implications functions; applications in any field of artificial intelligence and computer science, including, but not limited to, image processing, classification, recurrent neural networks, deep learning, transformers, big data, approximate reasoning, computational brain or decision-making.
We point out that the Special Issue is open to receiving further ideas, apart from the aforementioned topics.
In the hopes that this initiative is of interest, we encourage you to submit your current research to be included in the Special Issue.
Dr. Graçaliz Pereira Dimuro
Dr. Benjamin Bedregal
Dr. Junsheng Qiao
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. Axioms 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 2400 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.