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Development of an Expert System for flood Control Supporting based on Co-operating Knowledge-based Systems

基于协作知识系统的防洪保障专家系统开发

基本信息

批准号：
02555118
负责人：
TAKASAO Takuma
金额：
$ 4.8万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B)
财政年份：
1990
资助国家：
日本
起止时间：
1990 至 1992
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-02555118/
关键词：
Flood control Reservoir Operation Artificial Intelligence Expert System Fuzzy Set Theory Cooperative Problem Solving Dam For Flood Control Decision Support 洪水意思決定洪水制御エキスパ-トシステムダム操作オブジェクト指向貯水地操作プロダクションシステムファジィ推論

项目摘要

A flood control support environment, which is based on cooperatin knowledge-based systems, is designed. The system proposed herein has two levels of cooperation among its subsystems.On the upper level of cooperation, a procedural knowledge system, which processes quantitative data with mathematical algorithm, is linked with an inference system, which deals with qualitative information and knowledge expressed in the form of language. They synthetically support floow control work through information processing in each system and information interchange between them.The lower level of cooperation takes place among knowledge-based systems in the inference system. The inference system proposed here is composed of several self-contained knowledge-based systems, each of which is an expert system with an inference engine, a knowledge base and a data base. Each knowledge-based system deals with a partial issue of a flood control problem. Flood control problems, such as how much water should be released from a storage reservoir, are solved through the inference process in each knowledge-based system and the communication among them. In this study, we adopt two types of knowledge-based systems according to the information types to be processed in each system : one with an inference process based on a production system and the other with a fuzzy inference process.The way how to imprive an expert system designed as a prototype is also investigated and the hierachical structure of knowledge-based systems is proposed. In this framework, the knowledge-based system designed above is divided into several knowledge-based systems according to the type of data used as grounds of decision and the meta knowledge-based system is inroduced to manage these systems.

设计了一个基于协同知识系统的防汛支持环境。该系统各子系统之间具有两个层次的协作关系，上层协作关系中的过程性知识系统通过数学算法处理定量数据，推理系统处理定性信息和以语言形式表示的知识。它们通过系统内部的信息处理和系统间的信息交互，综合支持防洪调度工作，推理系统中基于知识的系统之间进行较低层次的协作。本文提出的推理系统由多个自成体系的基于知识的系统组成，每个系统都是一个具有推理机、知识库和数据库的专家系统。每个基于知识的系统处理一个防洪问题的部分问题。防洪问题，如一个水库应该放多少水，通过每个知识库系统中的推理过程和它们之间的通信来解决。根据每个系统要处理的信息类型，我们采用了两种类型的知识系统：一种是基于产生式系统的推理过程，另一种是基于模糊推理过程的知识系统，并研究了如何赋予作为原型的专家系统的方法，并提出了基于知识的系统的层次结构。在该框架中，将上述设计的基于知识的系统按照作为决策依据的数据类型划分为若干个基于知识的系统，并引入元知识系统来管理这些系统。