New Approaches to Data Analysis and Data Analytics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Fuzzy Sets, Systems and Decision Making".
Deadline for manuscript submissions: 1 April 2025 | Viewed by 201
Special Issue Editors
Interests: artificial intelligence; computational intelligence; fuzzy systems; fuzzy relations; entropy of fuzzy sets; fuzzy logic operations; negation; involutive systems; correlation functions; similarity measures
Special Issue Information
Dear Colleagues,
In recent years, the rapid growth of artificial intelligence and data science has increased the demand for the development of novel methods for representing, modeling, and analyzing different types of data, including uncertain and subjective information. The promising methods of research in this area are the generalization and synergy of methods of algebra, logic, theory of fuzzy sets and systems, probability theory and statistics, artificial intelligence, and machine learning. Examples include the theories of t-norms, aggregation functions, measures of possibility, and adaptive rule-based fuzzy inference systems, which have also significantly contributed to the development of data science.
For this Special Issue, we invite submissions of papers on novel and hybrid mathematical models and methods of data analysis and data analytics, including the following data types and models:
- Subjective, linguistic, qualitative, categorical, fuzzy, probabilistic, interval, structured, and other data types;
- Similarity, dissimilarity, association, correlation, preference, dependence, and causality relationship measures and functions;
- Fuzzy similarity relations, ultrametrics, and partial ordering in clustering and data structure analysis;
- Visualization, explanation, and interpretation of data structures and relationships;
- Negation, involution, reflection operations, bipolarity, and data symmetry;
- Data transformation and data aggregation;
- Fuzzy distribution sets and subjective distributions of membership, probability, weight, and importance;
- Negation, union, intersection and aggregation of subjective probability and weight distributions;
- Divergence, entropy, and uncertainty measures;
- Applications to business analytics.
Prof. Dr. Ildar Z. Batyrshin
Prof. Dr. Vladik Kreinovich
Guest Editors
Manuscript Submission Information
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Keywords
- subjective information
- uncertainty modeling
- fuzzy-probabilistic models
- fuzzy relations
- measures of relationships
- similarity measures
- correlation functions
- involutivity
- bipolarity
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