Fuzzy association degree with delayed time in temporal data model |
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Authors: | Weiyi Liu Lingzhi Guo Ning Song |
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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 |
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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. |
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Keywords: | temporal data model fuzzy association degree delayed time weather forecast |
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