共查询到13条相似文献,搜索用时 78 毫秒
1.
设计暴雨雨型对水文模式分析与暴雨排水设计是不可或缺的基本要素.暴雨雨型模式有许多种,该研究采用具尺度不变性之高斯马尔柯夫雨型模式,该暴雨雨型模式视每一场降雨事件为一随机历程,考虑每个时刻之序列符合常态分布,以一阶高斯马尔柯夫历程叙述临前水文条件的遗传效应,该雨型亦为具有最大似然度之设计暴雨雨型.但限于雨量测站为点的分布,因此必须将雨型设计结果分类及区域化,并求得区域代表雨型,如此方能为未设站区域使用,亦能合理的应用于降雨径流模式中.而层级分析法正是用来协助决策者找出最佳策略方案的工具,透过可行方案及相关评估因素的拟定,层级分析法之决策分析模式可计算每个替代方案的权重并建议决策者找出最具代表性的策略选择.本研究针对台湾北部地区提出一个新的方法来评估并建立区域代表雨型,首先建立各测站具尺度不变性之高斯马尔柯夫雨型,其次利用主成份分析法萃取出雨型中的5个重要的控制因素,再就这些因素以聚类分析法将研究区域内之设计暴雨雨型分为3个均匀群集,但同一群集内之雨型并非唯一,故研究中最后利用层级分析法进行评估,选取并建立出区域代表雨型. 相似文献
2.
在新疆城市化发展状况的基础上,从经济、社会、人口三个方面设计14个地区的城市化水平综合评价指标体系,运用主成份分析与聚类分析对这些地区的城市化水平进行综合评价及聚类,同时为以后的城市化发展提出提高第二三产业就业比重,增加城市人口数量及质量,加快社会基础设施建设与加快生活环境建设等相应的建议. 相似文献
3.
基于主成分分析与聚类分析方法的我国西部区域划分问题的研究 总被引:4,自引:0,他引:4
我国幅员广阔,各地区社会经济发展表现出很大的地区差异性。本文利用主成分分析与聚类分析方法对我们国家进行区域划分,研究结果对了解不同区域间经济发展的差异性及制定区域发展策略具有一定的意义。 相似文献
4.
5.
6.
生态活度位理论作为生态学重要的基础理论之一,可用于分析与评价不同生态单元之间竞争、地位与作用等。以湖南省为研究区域,运用德尔斐法、层次分析法等方法,构建了一套符合区域实际的生态活度位评价指标体系,确定了指标权重。然后,应用生态活度位理论与计量模型对湖南省14个市(州)进行评价,并依据评价结果,采用Q型聚类分析法,以自然生态活度值和社会经济生态活度值为变量,对各市(州)进行双变量聚类分析。结果表明:长沙市单独成为一类,总生态活度位值为0.912,属经济优越发展型区域;岳阳、常德、湘潭、衡阳和益阳5市为第二类,总生态活度位值界于0.766~0.818之间,属自然、经济协调发展型区域;株洲和郴州为第三类,总生态活度位值分别为0.768和0.763,属自然属性过度发展型区域;怀化、娄底、邵阳、张家界、永州、湘西自治州6市(州)为第四类,总生态活度位值界于0.605~0.705之间,属自然、经济薄弱发展型区域。最后,分析了各区域结果产生的原因,提出合理发展的建议。 相似文献
7.
用层次分析法评测联想、海尔、戴尔(中国)三家企业网站 总被引:6,自引:1,他引:6
本文依据美国评价电子商务网站的权威标准,对联想、海尔、戴尔三家企业的商务网站进行了调查分析,形成综合调查报告。然后通过层次分析法对三家企业网站做了对比分析,得到了具有理论指导意义和现实应用价值的结论。 相似文献
8.
Pragati Priyadarshinee Rakesh D. Raut Manoj Kumar Jha Sachin S. Kamble 《The Journal of High Technology Management Research》2017,28(2):221-245
The purpose of this research article is to identify the critical success criteria/factors that affect the cloud computing adoption and examine structure, reliability and validity of the criteria in the SMEs industry. This study considers nine types of criteria/factors with fifty-one sub-criteria, which have somewhat previously been used, and creates a ranking model that offers decision makers to measure the prior implementation of cloud computing adoption. A questionnaire-based survey research was used to collect data from 110 firms belonging to the SMEs industry in India. In this paper, the data collected was analysed by an integrated approach. Firstly, an Analytic Hierarchy Process approach was applied to find the significant fact of each criterion as the assessable indices of the cloud computing adoption. Secondly, an Exploratory Factor Analysis and Confirmatory Factor Analysis were used to examine structure, reliability and validity of the criteria. The data was tabulated in a Microsoft Excel sheet and then imported in SPSS (Statistical Package for the Social Sciences version 20) for analysis. The findings discovered that ‘Security and Privacy’, ‘Organizational Risk’, ‘Sharing and Collaboration’, ‘Confidentiality’, and ‘Integrity’ have a major effect on the adoption of cloud computing. The research was conducted in the SMEs industry in India, which may limit the generalizability of the findings. The findings and recommendations offer cloud computing service providers as well as users with a better understanding of what affects the cloud computing adoption feature, with a relevant understanding of the current scenario. The research aided in the application of the new technology of cloud computing adoption in the SMEs industry in India through the use of a wide range of criteria. The findings also help organizations study their information technology investments when applying cloud computing. 相似文献
9.
针对层次分析法(AHP)和变异系数法(CV)的单一赋权方法在高新技术企业竞争力评估中的不足,提出一套综合权重赋值方法称为AHP-CV。首先从广东省科技大数据平台中获取高新技术企业的登记数据集,根据预设维度分类规则分类至预设企业维度,然后基于AHP-CV设计指标权重算法模型计算各企业维度对应的评分值,最后从3个企业维度对不同领域高新技术企业进行归类分析,根据归类结果对高新技术企业的发展状况进行评估,设计能够实时监测高新技术企业综合竞争力的监控系统。实证分析表明此监测算法模型能够很好地对高新技术企业进行监测。基于该监测算法的监控系统已经成功运用于广东省科技大数据平台,将实时对广东省内高新技术企业的综合竞争力进行监测,为各级有关监管部门决策提供参考。 相似文献
10.
11.
The concept of software as a service (SaaS) has received considerable attention in recent years, and an increasing number of countries have consequently promoted the SaaS market. However, those countries without mature SaaS markets have experienced many SaaS-related problems. To facilitate SaaS adoption, we first analyzed Korea's newly established SaaS market. We then employed a method based on the two-factor theory in order to classify the SaaS market into adoption-driving and adoption-inhibiting areas. From the adoption-driving area perspective, the results of the method demonstrate the validity of the consumerization phenomenon and the PEST analysis. Customer factors in the consumerization phenomenon and economic factors in the PEST analysis were the most important drivers of SaaS adoption. From the adoption-inhibiting area perspective, customer factors as well as supplier and environment factors inhibited SaaS adoption; according to the PEST analysis, social, economic and political factors inhibited SaaS adoption. These results have important implications for Asian countries with newly established SaaS markets, including Australia, China and Singapore. 相似文献
12.