Fuzzy Association Degree with Delayed Time in Temporal Data Model

This paper presents an expression of the semanticproximity. Based on the temporal data model, a method of the temporalapproximation is given. Using these concepts, we provide an evaluatedmethod of fuzzy and dynamic association degree with delayed time and asuperposition method of association degrees. Particularly, by means ofthe fuzzy and dynamic association degree, we can discover theconnection between the weather data of two regions.