Applied Fuzzy Statistics

Dear Colleagues,

Undoubtedly, we assist in the emergence of two interrelated trends that, not only as scientists but also as citizens, strongly affect our daily lives. On the one hand, all sorts of data are collected, stored, analysed, and reused in different applications without thoroughly understanding their properties or specificities. On the other hand, these data, coming from so many sources, are used more and more to describe or monitor our behaviour. So often, the algorithms run as black boxes, and we fail to understand what happened. Or, so many imprecisions are congenitally embedded in the data that everybody has his interpretation.

Numerous publications, labelled by the term “fuzzy”, have been recently devoted to treating uncertainty, imprecision, or vagueness in data. Accordingly, soft computing and AI methods have been developed. These productive activities are not surprising, given the increasing impact in our daily tasks these methods take.  Nevertheless, though data are always at the start of the process or a cornerstone of the technique, relatively few developments were undertaken in fuzzy statistics, mainly dedicated to some applied statistics aspects.

This Special Issue in applied fuzzy statistics should modestly fill the gap. We envision a collection of papers dedicated to fuzzy statistical methods in applied statistics. Contributions covering some specific fuzzy statistical tools to describe, visualise, and analyse distributions are particularly welcome. Empirical fuzzy distributions could be the focus of interest, and thus new fuzzy inference methods could be advocated. Finally, new fuzzy estimation methods could be presented. This list of subjects is not exhaustive and evidently could be open to other topics. Ideally, all papers should be illustrated by empirical applications to convince the reader of the feasibility of the methods.

We hope that this Special Issue will attract your interest, and we warmly encourage you to submit your manuscript.

Prof. Dr. Laurent Donzé
Guest Editor

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.

• fuzzy graphical statistical tools
• fuzzy empirical distribution
• fuzzy inference methods
• fuzzy statistical methods
• fuzzy confidence intervals
• fuzzy regression methods
• fuzzy data