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- W2028985131 abstract "This paper presets an expression of the semantic proximity. Based on the concept of the semantic proximity, an evaluated method of the fuzzy association degree is given. It is shown that the method is reasonable and effective. Particularly, by means of the fuzzy association degree, we can discover the connection between a plant and some ecological environment, which will be helpful to the exploitation of rare plants." @default.
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- W2028985131 date "2001-01-01" @default.
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- W2028985131 title "The fuzzy association degree in semantic data models" @default.
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- W2028985131 doi "https://doi.org/10.1016/s0165-0114(98)00334-0" @default.
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