A5005837856- Multi-Criteria Decision Making
- Data Management and Algorithms
- Fuzzy Logic and Control Systems
- Rough Sets and Fuzzy Logic
- Fuzzy Systems and Optimization
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Intuitionistic Fuzzy Systems Applications
- Data Mining Algorithms and Applications
- Natural Language Processing Techniques
- Cognitive Science and Mapping
- Neural Networks and Applications
- Advanced Database Systems and Queries
- Optimization and Mathematical Programming
- Advanced Algebra and Logic
- Bayesian Modeling and Causal Inference
- Advanced Text Analysis Techniques
- Time Series Analysis and Forecasting
- Cognitive Computing and Networks
- Big Data and Business Intelligence
- Text and Document Classification Technologies
- Constraint Satisfaction and Optimization
- Advanced Data Processing Techniques
- AI-based Problem Solving and Planning
- Advanced Control Systems Optimization
Polish Academy of Sciences
2016-2025
Systems Research Institute
2016-2025
Warsaw School of Information Technology
2015-2024
AGH University of Krakow
2016-2024
Dalhousie University
2023
Chuo University
2022
Vellore Institute of Technology University
2022
East Asia School of Theology
2021-2022
University of Cincinnati
2022
Obuda University
2021-2022
We present basic ideas and perspectives related to the use of fuzzy logic for derivation linguistic summaries data sets (databases in practice). concentrate on issue how measure goodness a summary. advocate an interactive approach which user indicates first class interest (basically, by specifying attributes relation between he or she is interested in) using querying interface database. Finally, we implementation deriving sales database at computer retailer, show obtained can be useful...
We extend the main idea of a fuzzy analysis consensus—that is based on concept distance from consensus—to case when individual testimonies are intuitionistic preference relations, as opposed to relations commonly used. Intuitionistic that in addition membership degree (from [0, 1]) include hesitation margin (concerning degree), can better reflect very imprecision (expressing preferences) individuals during consensus-reaching process. Our new solution, obtained an interval-valued measure...
Using a fuzzy-logic-based calculus of linguistically quantified propositions, new database querying system is proposed for handling such imprecise queries as "find all records in which most (almost all, much more than 75 percent, etc.) the important attributes (out specified subset) are desired (equal to five, greater ten, around seven, eleven etc.)."