Title :
A method for optimization of a conceptual model
Author_Institution :
Central Institute for Industrial Research Forskningsv. 1, Blindern, Oslo 3, Norway
fDate :
4/1/1984 12:00:00 AM
Abstract :
Optimization of a conceptual model is a non-trivial task. A set of rules for determining the "best" one out of a number of candidate solutions is introduced. A key point is the definition of a set of quantifiable characteristics of a conceptual model; a measurement of the characteristics together with a fixed measurement of the decision-maker´s preferences are used to quantify the quality of the candidate solutions relative to each other. The chosen characteristics are: size, change pr. month, data description inaccuracy, semantic relevance, semantic inaccuracy and l/0-model size.
Keywords :
"Semantics","Data models","Accuracy","Optimization","Mathematical model","Analytical models","Size measurement"
Conference_Titel :
Data Engineering, 1984 IEEE First International Conference on
Print_ISBN :
978-0-8186-0533-8
DOI :
10.1109/ICDE.1984.7271264