期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
机构创新设计支撑系统(MCDSS)的研究——机构创新设计系统研究之一 被引量:14
1
作者 魏东 翁海珊 陈立周 《机械设计》 CSCD 北大核心 2001年第3期6-8,共3页
对机构创新设计的数学模型进行研究 ,实现了机构拓扑结构的智能化自动生成 ,为创新设计全过程建立了通用信息桥梁。在此基础上 ,开发出机构创新设计的支撑系统 (MCDSS) ,服务于机构创新设计系统分析、综合和评价全过程 ,在自动化的机制... 对机构创新设计的数学模型进行研究 ,实现了机构拓扑结构的智能化自动生成 ,为创新设计全过程建立了通用信息桥梁。在此基础上 ,开发出机构创新设计的支撑系统 (MCDSS) ,服务于机构创新设计系统分析、综合和评价全过程 ,在自动化的机制驱动下实现信息管理和流程控制 。 展开更多
关键词 创新设计 机构方案设计 mcdss 机构设计
下载PDF
Site Suitability Evaluation for Sustainable Distribution of Hospital Using Spatial Information Technologies and AHP: A Case Study of Upper Egypt, Aswan City
2
作者 Asmaa H. Ahmed Hatem Mahmoud Abdel Monteleb M. Aly 《Journal of Geographic Information System》 2016年第5期578-594,共17页
Site selection for location of a hospital is one of the crucial policy-related decisions taken by the government. In upper Egypt, the cities suffer from a shortage and bad distribution of hospital site. The selection ... Site selection for location of a hospital is one of the crucial policy-related decisions taken by the government. In upper Egypt, the cities suffer from a shortage and bad distribution of hospital site. The selection of the appropriate hospital site requires consideration of multiple alternative solutions and evaluation factor. We develop a Multi-Criteria Decision Support System (MCDSS) process that combines Geographical Information System (GIS) analysis with Analytical Hierarchy Process (AHP) and use this process to determine the optimum site for a new hospital in the Aswan urban area. Based on actual conditions Aswan city, we used three main factors and seven sub-factors. The main factors are urban, environmental and economic factors. An application adopting AHP process was developed to calculate weights of every factor. Spatial analysis in GIS was used to overlay and generate factors maps and suitability evaluation map. All maps are classified from 1 (low suitable) to 5 (high suitable) using spatial information technologies. The candidate sites are divided by best, good and unsuitable hospital areas. Best hospital site represents optimal sites;good hospital site can be used as back-up candidate sites. The study was found that best area (S3) is about 30%, and most of these are located in the south part of the study area;good area (S2) is about 58%, and most of these are located in the central part of the study area;unsuitable area (S1) is about 12%, and most of these are located in the Eastern and Western parts of the study area. Finally, the study ends with an assessment of proposed sites. 展开更多
关键词 Site Suitability Evaluation Geographic Information System (GIS) mcdss Hospital Sitting Spatial Analysis
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部