大規模地域統計データベースのための分析型ファジィ検索システム

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タイトル別名
  • Analysis-Based Fuzzy Retrieval System for Large-Scale Regional Statistical Data Base
  • ダイキボ チイキ トウケイ データベース ノ タメ ノ ブンセキガタ ファジィ

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This paper presents an analysis-based fuzzy retrieval method to detect the data with specified characteristics of changes by directly using the human's sensuous expression from the large-scale regional statistic data base. The sentence of “For a given period of time, list up the number of regions which have very large population and rapid population increase” is one example of fuzzy queries. For this purpose, fuzzy retrieval is carried out by classifying frequently using data retrieval patterns including the human's fuzzy language according to the characteristics of changes in the data. Both a fuzzy set and a fuzzy membersihp function to correspond to each data retrieval pattern are defined, and the special grammar of fuzzy retrieval condition is determined, Then, fuzzy set operations on fuzzy sets are applied.<br>The fuzzy retrieval method is realized on SUN Workstation. Retrieval results prove that the method is practical applicable to real data. Furthermore, the method is applied Osaka University Regional Simulation model. The retrieval and analysis results concerning the cause of changes in the data could be displayed in separate graphical forms by use of the developed display system.

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