Fuzzy set-valued information systems and the algorithm of filling missing values for incomplete information systems
From MaRDI portal
Publication:2285726
DOI10.1155/2019/3213808zbMath1432.68465OpenAlexW2996510249WikidataQ126530555 ScholiaQ126530555MaRDI QIDQ2285726
Publication date: 8 January 2020
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2019/3213808
Related Items (1)
Cites Work
- Unnamed Item
- A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems
- Rough set approach to incomplete numerical data
- Approximations and uncertainty measures in incomplete information systems
- Monotonic similarity measures between fuzzy sets and their relationship with entropy and inclusion measure
- Rudiments of rough sets
- Constructive and algebraic methods of the theory of rough sets
- Maximal consistent block technique for rule acquisition in incomplete information systems.
- Topological approach to retrieve missing values in incomplete information systems
- Rough set approach to incomplete information systems
- Rules in incomplete information systems
- Uncertainty measures for general fuzzy relations
- Some new approaches to constructing similarity measures
- Classification with incomplete survey data: a Hopfield neural network approach
- A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets
- Information granulation and rough set approximation
- Inclusion measures, similarity measures, and the fuzziness of fuzzy sets and their relations
- Rough sets
- Dominance relation and rules in an incomplete ordered information system
- Jackknife Variance Estimation for Nearest-Neighbor Imputation
- THE ALGORITHM ON KNOWLEDGE REDUCTION IN INCOMPLETE INFORMATION SYSTEMS
- Rough Sets and Current Trends in Computing
- Fuzzy sets
- Local and Global Approximations for Incomplete Data
This page was built for publication: Fuzzy set-valued information systems and the algorithm of filling missing values for incomplete information systems
