Fuzzy association degree with delayed time in temporal data model

被引：5

作者：

Lui, WY

Guo, LZ

Song, N ^{[1
]}

机构：

[1] Yunnan Univ, Dept Comp Sci, Kunming 650091, Peoples R China

[2] Yunnan Univ, Coll Sci, Kunming 650091, Peoples R China

[3] Kunming Univ Sci & Technol, Dept Met, Kunming 650093, Peoples R China

来源：

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY | 2001年 / 16卷 / 01期

关键词：

temporal data model; fuzzy association degree; delayed time; weather forecast;

D O I：

10.1007/BF02948856

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：86 / 91

页数：6