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Fuzzy association degree with delayed time in temporal data model
Authors:Weiyi Liu  Lingzhi Guo  Ning Song
Affiliation:(1) Department of Computer Science, Yunnan University, 650091 Kunming, P.R. China;(2) Science College, Yunnan University, 650091 Kunming, P.R. China;(3) Department of Metallurgy, Kunming University of Science and Technology, 650093 Kunming, P.R. China
Abstract:This paper presents an expression of the semantic proximity. Based on the temporal data model, a method of the temporal approximation is given. Using these concepts, this paper provides an evaluated method of fuzzy and dynamic association degree with delayed time and a superposition method of association degrees. Particularly, by means of the fuzzy and dynamic association degree, the connection between the weather data of two regions can be discovered.
Keywords:temporal data model  fuzzy association degree  delayed time  weather forecast
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