Statistical relational tables for statistical database management
IEEE Transactions on Software Engineering
Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
Statistical and scientific databases
Statistical and scientific databases
Fuzzy functions and their fundamental properties
Fuzzy Sets and Systems
Handling summary information in a database: derivability
SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
Statistical Databases: Characteristics, Problems, and some Solutions
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
The fuzzy median and the fuzzy MAD
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
Proposal of a logical model for statistical data base
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
Statistical data management research at Lawrence Berkeley laboratory
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
Statistical versus relational join dependencies
SSDBM'1994 Proceedings of the 7th international conference on Scientific and Statistical Database Management
Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology)
Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology)
Fundamentals of Statistics with Fuzzy Data (Studies in Fuzziness and Soft Computing)
Fundamentals of Statistics with Fuzzy Data (Studies in Fuzziness and Soft Computing)
An Application of Statistical Databases in Manufacturing Testing
IEEE Transactions on Software Engineering
Normalized data base structure: a brief tutorial
SIGFIDET '71 Proceedings of the 1971 ACM SIGFIDET (now SIGMOD) Workshop on Data Description, Access and Control
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Most of the statistical databases developed so far use precise data. But in the real world, most of the data is imprecise in nature. Fuzzy set theory has proven to be a good choice for accomplishing the task of imperfect data particularly in statistical database and fuzzy statistical database has arisen as a result. In this paper, we introduce the concept of fuzzy statistical dependency, a dependency between the attributes of fuzzy statistical database which allows the database developer to develop a consistent logical modelling tool for fuzzy statistical database. We also discuss the fuzzy statistical equality for comparison of attributes in fuzzy statistical database. To eliminate the redundancy in fuzzy statistical database, fuzzy statistical normal forms are defined which present a framework for the database developer to maintain consistency in the fuzzy statistical database. Algorithms for implementation of fuzzy statistical normal forms are also discussed.