Title :
A characterization of information quality using fuzzy logic
Author_Institution :
Dept. of Math. & Comput. Sci., Brandon Univ., Man.
Abstract :
In this paper, we examine how to adequately engineer an information system that is guaranteed to produce high quality information. We also characterize the dimensions of information quality from the perspective of a systems designer. This relates directly with our view that information is an engineered product coming out of the information manufacturing processing system. Further, we integrate fuzzy sets/logic concepts into our model to facilitate the characterization of the continuum of information quality since information quality is highly contextual and dependent on the user
Keywords :
data integrity; fuzzy logic; fuzzy set theory; information systems; systems analysis; fuzzy logic; fuzzy sets; high quality information; information manufacturing processing system; information quality characterisation; information system; systems designer; Context modeling; Decision making; Fuzzy logic; Fuzzy sets; Information systems; Management information systems; Manufacturing processes; Robustness; Systems engineering and theory; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781771
