Under the situation that the power industry is in great need of the modernization of production and management , there occur higher requirements to the level of production and management . so the spatial decision support systems in the power industry are contained in great demands <中文摘要> =电力行业在生产和管理现代化的大背景下,对发电企业的生产和管理水平提出了更高的要求,空间决策支持系统( sdss )在电厂的应用成为了迫切的需求。
The key problems such as the topology of spatial data , the algorithms of spatial analysis on distribution and design of the spatial decision support system based on gis are emphasized . lt is also described that power - off analysis function ' s related algorithm is deduced in terms of primary algorithm 并具体讨论了其中的几个方面,如gis的空间数据的拓扑关系及其理论与图论相结合进行配电网空间分析的算法,并在此基础上的出停电分析等的相应算法。
First , this paper introduces the system development background , and discusses decision support system ' s research status quo and the development trend of sdss . then according to the features and the trend of city planning , the paper combines the technique of gis with decision support system , and puts forward general plan of city planning spatial decision support system based on gis 本文首先介绍了系统开发背景,并论述了决策支持系统的研究现状及空间决策支持系统的发展趋势,然后根据城市规划决策的特点和发展需要,将地理信息系统( gis )技术和决策支持系统( dss )相结合,提出了基于gis的城市规划空间决策支持系统的总体构想。
It also discusses several methodological problems including ( 1 ) how to integrate expert system and spatial decision support system ; ( 2 ) how to acquire and synthesize decision knowledge from various sources ; ( 3 ) how to choice the system of knowledge representation ; and ( 4 ) how to apply fuzzy theory 为了系统建构上的需要,文中也讨论四方面之方法学的问题,包括: (一)专家系统与空间决策支援系统应该如何加以整合; (二)如何从许多不同的来源中,撷取与整合大量片断的决策知识; (三)知识表现系统怎样选择; (四)模糊理论如何整合应用。
A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining , " 3s " technology and environment model , which include designing of data base , knowledge base , model base and their management system , inference engine and intelligent data mining engine ; 2 . a model using artificial neural networks to forecast in coast environment in fujian was established , and a method applying multivariate decision tree to remote sensing classification was presented ; 3 . a novel and shortcut method realizing artificial neural networks was presented , and then we put forward method realizing decision tree and realized it in prototype 论文的主要内容概括起来有: ( 1 )对空间数据挖掘技术、 “ 3s ”技术、环境模型在空间决策支持系统中的应用与集成进行了研究,提出了一种基于空间数据挖掘的环境调控空间决策支持系统的模型,包括模型库及其管理系统、知识库及其管理系统、数据库及其管理系统、推理机以及数据挖掘智能引擎等的设计; ( 2 )建立了人工神经网络在福建省海岸带环境预测中应用的模型,提出了复合决策树算法在遥感分类的应用方法; ( 3 )提出一种新颖的、简便快捷的人工神经网络的实现方法,以及决策树的实现方法,并在原型系统中作了实现。
This paper does research on spatial data mining technology applied in environment regulation , and on technology integrated spatial data mining and spatial decision support system . the integrated model for environment regulation spatial decision support system based on spatial data mining was established ; spatial data mining intelligent engine was designed , which can choose algorithms intelligently in data mining . environment database , knowledge data base and model base were designed , which is based on the characteristic of environment datum in fujian coast 本文研究空间数据挖掘技术在环境调控中的应用和空间数据挖掘技术与空间决策支持系统的集成,提出了一种基于空间数据挖掘的环境调控空间决策支持系统模型;设计了空间数据挖掘智能引擎;根据福建省海岸带环境数据的特点,对福建省海岸带环境数据库、知识库与模型库作了设计,最后开发了福建省海岸带环境调控决策支持原型系统。
Considering all of these , this articles will propose a new model frame based on these two traditional ones - spatial decision support system , which integrated the spatial data and decision support data to form a new system . this new system can offer a direct , vivid , picturesque information service 围绕这个问题,本文在这两个原有系统的基础上,提出了一种新的模式? ?基于gis的决策支持系统,本质上就是将地理信息系统与决策支持系统相结合,将决策支持架构在空间数据上,为领导提供更直观、更生动、更形象的信息服务。
With the development of geographical information system ( gis ) , especially spatial decision support system ( sdss ) , which integrates gis and modeling technology , is introduced to solve location decision problems , there is a new way to solve the difficulties baffling the traditional methods 随着目前地理信息系统( gis )技术的发展,特别是融合了gis技术和建模技术的空间决策支持系统( sdss )引入到金融网点选址决策领域,传统选址方法所面临的难题有了迎刃而解的思路。
Whereas , there are several problems such as the drastic repetitive construction , lower model reused percent in the software level , the low - frequent interaction in model visualization , etc . in order to solving the above problems , this paper discusses the solution of these situations on the research of key common technology of spatial decision supporting system 但同时也存在着一些问题,如需求的不确定性、模型软件层次重用率低、模型交互可视化表达能力低等。针对这些问题,本文通过对空间决策支持系统建设中的关键通用技术研究的基础上,讨论了这些问题的解决方法。
This dissertation , based on the study in the principles and applications of the gis and es , finds out the advantages and disadvantages in the practical applications of the two systems . then it brings forward a tentative plan to integrate the two systems and develop a spatial decision support system , gis - based comprehensive expert system for power plants . after carefully analysis and comparison , it decides to choose the gis database & es database mode to develop the integration 本文通过对地理信息系统和专家系统的原理及应用的研究,发现了二者在应用过程中的优势与不足,提出了将二者进行集成,开发基于gis的电厂综合性专家系统这种空间决策支持系统的构想,经过分析比较,确定了gis数据库/ es数据库连接模式作为系统集成开发的方案,并通过试验找到了一条将地理信息系统与人工智能专家系统相结合,实现优势互补的途径。
A spatial decision support system (SDSS) is an interactive, computer-based system designed to assist in decision making while solving a semi-structured spatial problem.Sprague, R.