Title :
Fuzzy measures for data quality
Author :
M. Janta-Polczynski;E. Roventa
Author_Institution :
York Univ., Toronto, Ont., Canada
Abstract :
The aim of the paper is twofold: to introduce a clear and coherent framework of data as data elements-the building blocks of information systems; and to discuss dimensions of data quality along three axes: (a) quality of the conceptual view of data; (b) quality of the values to be stored in the database; (c) quality of the representation of data, i.e. their format. For each of these dimensions, the paper discusses the appropriateness of a representation in fuzzy logic.
Keywords :
"Databases","Fuzzy logic","Information systems","Educational institutions","Niobium","Uncertainty","Dictionaries"
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781722