| 摘要: |
| 为解决目前高速公路养护系统模糊数据的处理问题,在BS模式高速公路养护系统中,利用模糊法则,考虑路况取样对几种不同情况的隶属度,并将其定义为连续、平滑的隶属函数.将其中的模糊数据整合到ORACLE数据库中,利用加权平均法对收集的每km路段各种模糊数据进行处理,给出该路段状态量化数值.建立数据模型,在ORACLE数据库中对模糊对象的输入、判别和处理进行了研究,并以实例说明重心法、最大隶属度法、系数加权平均法和隶属度限幅元素平均法等模糊判决方法的计算过程及其SQL查询的实现,以及查询和分析模糊数据的技巧,同时给出对应的部分Java实现代码.在高速公路养护系统中使用模糊数据对象的数据库,提高了数据的安全性和封装性,处理过程也不复杂,此处理方法可以使用到类似的MIS系统中. |
| 关键词: 模糊数据库 隶属函数 SQL Java |
| DOI：10.11841/j.issn.1007-4333.2005.06.162 |
| 投稿时间：2005-04-06 |
| 基金项目: |
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| Research on application of fuzzy database to expressway maintaining system |
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| Abstract: |
| To enable the fuzzy data from an expressway maintaining system to be processed the fuzzy data collected from each kilometer expressway were dealt with and the quantificational value of the road status was given by the weighted mean method, in which some kind membership grade of different road conditions were considered, a continu- ous smoothing subordinate function was defined, and the fuzzy data were integrated into the Oracle database. The ways to set up a corresponding fuzzy data model by a fuzzy database system under the subjection function and to query and analyze the fuzzy data were described. The processing procedure is simple and can be applied to the similar MIS systems. |
| Key words: fuzzy database subordinate function SQL Java |
