Temporal databases: theory, design, and implementation
Temporal databases: theory, design, and implementation
Advances in the Dempster-Shafer theory of evidence
An extended database design methodology for uncertain data management
Information Sciences—Informatics and Computer Science: An International Journal
A relational model of data for large shared data banks
Communications of the ACM
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
IEEE Transactions on Knowledge and Data Engineering
ISMIS '94 Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems
GRS: a generalized rough sets model
Data mining, rough sets and granular computing
A new rough sets model based on database systems
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Rough Relational Operators and Rough Entropy in Rough Relational Database
WKDD '09 Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining
Ontology versus semantic networks for medical knowledge representation
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Building an Intelligent Web: Thoery and Practice
Building an Intelligent Web: Thoery and Practice
Temporal Relationships between Rough Time Intervals
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
The information entropy of rough relational databases
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
TempR-PDM: a conceptual temporal relational model for managing patient data
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Conceptual fuzzy temporal relational model (FTRM) for patient data
WSEAS Transactions on Information Science and Applications
Advances in fuzzy temporal relational databases: a review
WSEAS Transactions on Information Science and Applications
| Hi-index | 0.00 |
The problem of managing imprecise and vague information has been a research problem for computer scientists, especially in the area of temporal relational databases and artificial intelligence. There are many research proposals to solve this problem and the most widely used approach is the fuzzy set theory. In contrast rough set theory is relatively new approach that has been derived through study of information and data tables. In this paper we summarize the fundamental concepts related to fuzzy and rough set theory and their application in temporal database model as well as present a conceptual model of fuzzy rough temporal data processing with illustration.