TY - GEN
T1 - Imprecise and uncertain engineering information modeling in databases
AU - Ma, Z. M.
AU - Zhang, W. J.
AU - Ma, W. Y.
N1 - Full text of this publication does not contain sufficient affiliation information. The Research Unit(s) information for this record is based on the then academic department affiliation of the author(s).
PY - 2001
Y1 - 2001
N2 - Engineering information modeling involves database systems and modeling tools. Currently, there are no existing database systems and modeling tools that support imprecise and uncertain engineering information. Information imprecision and uncertainty exist in almost all aspects of engineering applications. Constructing intelligent manufacturing systems (IMS) has imposed great challenge to current database technologies in modeling engineering data with imprecise and uncertain information. © Springer-Verlag Berlin Heidelberg 2001
AB - Engineering information modeling involves database systems and modeling tools. Currently, there are no existing database systems and modeling tools that support imprecise and uncertain engineering information. Information imprecision and uncertainty exist in almost all aspects of engineering applications. Constructing intelligent manufacturing systems (IMS) has imposed great challenge to current database technologies in modeling engineering data with imprecise and uncertain information. © Springer-Verlag Berlin Heidelberg 2001
UR - https://www.scopus.com/pages/publications/84949432256
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84949432256&origin=recordpage
U2 - 10.1007/3-540-45153-6_35
DO - 10.1007/3-540-45153-6_35
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783540421443
T3 - Lecture Notes in Computer Science
SP - 349
EP - 352
BT - Advances in Artificial Intelligence
A2 - Stroulia, Eleni
A2 - Matwin, Stan
PB - Springer
CY - Berlin, Heidelberg
T2 - 14th Biennial Conference on Artificial Intelligence (AI 2001)
Y2 - 7 June 2001 through 9 June 2001
ER -