Title :
Fuzzy extensions for relationships in a generalized object model
Author :
Cross, Valerie V.
Author_Institution :
Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA
Abstract :
To better model the dynamic and uncertain real world; many researchers have proposed approaches for integrating fuzzy set theory into the knowledge representation methods used in data modeling. This paper presents an initial recommendation for the primary relationships of a generalized object model that would incorporate fuzzy set theory as a tool to use in the task of object modeling
Keywords :
data integrity; data models; fuzzy set theory; object-oriented databases; uncertainty handling; concept relationships; data modeling; database design; fuzzy set theory; generalized object model; knowledge representation; object modeling; object oriented databases; uncertainty handling; Analytical models; Computer science; Data analysis; Data models; Databases; Fuzzy set theory; Humans; Knowledge representation; Object oriented modeling; Uncertainty;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944437
