Title :
Fuzzy set quantification of roughness in a rough relational database model
Author :
Beaubouef, Theresa ; Petry, Frederick E.
Author_Institution :
Centre for Intelligent & Knowledge-Based Syst., Tulane Univ., New Orleans, LA, USA
Abstract :
This paper provides the theoretical background and important definitions for rough sets. It defines fuzzy rough sets and provides some basic properties of union and intersection of fuzzy rough sets. It then informally presents the basic properties of the rough relational database model. Because the fuzzy rough relational database (FRRD) is an extension of the basic rough relational database model, only a short, informal description of the basic model is provided. The FRRD model is described providing necessary definitions and discussion of operators. Advantages of the enhanced model are discussed
Keywords :
database theory; fuzzy set theory; relational databases; database model; database theory; fuzzy membership values; fuzzy rough intersection; fuzzy rough relational database; fuzzy rough sets; fuzzy set quantification; fuzzy set theory; Fuzzy set theory; Fuzzy sets; Intelligent systems; Knowledge based systems; Relational databases; Rough sets; Set theory; Terminology; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343697