Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Recent Advances in Granular Computing for Intelligent Data Analysis"
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer Science and Symmetry/Asymmetry".
Deadline for manuscript submissions: 30 June 2023 | Viewed by 7897
Special Issue Editors
Interests: fuzzy set; data mining; granular computing; information fusion; artifical intelligence; cognitive computing
Interests: granular computing; machine learning; uncertainty reasoning
Interests: mathematical basis of artificial intelligence; intelligent computing; granular computing; knowledge discovery; uncertainty processing
Special Issue Information
Granular computing constitutes an extensive body of knowledge that encompasses the unification of individual information granules (established within various settings, including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, and probabilistic granules) to form a coherent methodological and developmental environment. Granular computing represents a powerful tool for multiple granularity and multiple-view data analysis at different granularity levels, which has demonstrated strong capabilities and advantages in intelligent data analysis, pattern recognition, machine learning, and uncertain reasoning. In recent years, many excellent research results have been achieved in the field of multi-granularity computing involving models from two completely symmetrical positions, one optimistic and the other pessimistic.
Symmetry covers a broad spectrum of subjects in granular computing, embracing the theory, methodology, and application of the discipline in intelligent data analysis. Theoretical and applied studies involving fuzzy sets, interval analysis, rough sets, shadowed sets, and probabilistic sets, as well as related results in intelligent data analysis, are welcome.
This Special Issue focuses on the integration of both techniques through a granular computing approach to intelligent data analysis, especially regarding the design of efficient and effective integrated granular data analysis models, algorithms, and systems to improve reasoning and treatment of uncertain data.
Topics of interest for this issue include, but are not limited to:
- Fuzzy set theory in data analysis;
- Rough set theory;
- Three-way decision theory;
- Granular computing approach to machine learing;
- Uncertainty reasoning;
- Uncertainty analysis and granular computing;
- Multigranularity data analysis;
- Logical approach to data analysis;
- Formal concept analysis;
- Concept learning.
Dr. Weihua Xu
Dr. Yanhong She
Dr. Xiaoyan Zhang
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. Symmetry 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 2000 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.
- data mining
- intelligent data analysis
- granular computing
- multigranularity computing
- three-way decision
- uncertainty analysis