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基于云距离模型的建筑企业评价
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作者 朱庆生 高锴 《北部湾大学学报》 2023年第4期31-35,共5页
为获得优秀的建筑企业供应链成员,运用扎根理论建立了基于供应链成员协作能力的评标指标体系,同时为解决评价过程中存在的模糊性和随机性问题,引入云理论概念,构建基于协作能力的评价云模型,再利用相对云距离的多属性决策方法,对各供应... 为获得优秀的建筑企业供应链成员,运用扎根理论建立了基于供应链成员协作能力的评标指标体系,同时为解决评价过程中存在的模糊性和随机性问题,引入云理论概念,构建基于协作能力的评价云模型,再利用相对云距离的多属性决策方法,对各供应链成员进行评比,最后用一个实例来验证该方法的实用性。 展开更多
关键词 扎根理论 云距离 多属性决策 建筑企业
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基于Z-number Clouds距离的多属性决策模型及其应用 被引量:1
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作者 王翠翠 《安徽广播电视大学学报》 2020年第4期87-91,共5页
针对不确定环境中的决策问题,提出一种基于Z-number Clouds(ZCs)距离的多属性决策方法。结合语言型Z-numbers(LZNs)和语言尺度函数(LSF)提出一种将不确定变量Z-number转换为Z-number Clouds的新方法;在兼顾Z-number和云模型在不确定环... 针对不确定环境中的决策问题,提出一种基于Z-number Clouds(ZCs)距离的多属性决策方法。结合语言型Z-numbers(LZNs)和语言尺度函数(LSF)提出一种将不确定变量Z-number转换为Z-number Clouds的新方法;在兼顾Z-number和云模型在不确定环境中表达的随机性和模糊性的情况下,通过定义ZCs距离度量了两个ZCs之间的不确定性程度;基于ZCs距离和概率法给出了属性权重计算公式,结合属性权重和有向距离矩阵建立一种新的多属性决策方法;通过新能源汽车性能评估实例验证了所提出多属性决策方法的有效性和可行性。 展开更多
关键词 Z-number 模型 云距离 不确定性 多属性决策
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三维激光扫描技术在岩质边坡变形监测中的应用分析
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作者 杨斌 庞正辉 +3 位作者 王伟 张志谋 任桥 符文成 《测绘技术装备》 2024年第1期187-192,共6页
边坡变形监测能够降低边坡滑坡、崩塌等意外事件的发生率,是重要的灾害预防措施。传统的变形监测方法主要有全站仪合测法、钢绳测斜法及岩体位移传感器法,但以上方法均存在单点观测,受野外环境影响大等方面的局限性,无法满足当前的实际... 边坡变形监测能够降低边坡滑坡、崩塌等意外事件的发生率,是重要的灾害预防措施。传统的变形监测方法主要有全站仪合测法、钢绳测斜法及岩体位移传感器法,但以上方法均存在单点观测,受野外环境影响大等方面的局限性,无法满足当前的实际需求。基于此,本文利用三维激光扫描技术采集不同时段的岩坡点云数据,再通过不同软件对比点云数据距离,确定时段内岩坡表面的变形区域。研究结果表明,三维激光扫描技术在岩坡变形监测中有着较高的置信度和可行性。 展开更多
关键词 三维激光扫描 岩坡 变形监测 云距离
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高炮防雹作业方法改进的研究 被引量:1
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作者 严宏志 《内蒙古气象》 2003年第3期40-41,共2页
传统的防雹作业方法主要偏重射击方法的运用,却没有解决防雹炮弹弹丸能否进入云的有效部位的问题。解决这个问题的关键,就是要算出炮的射程Sg和雹云距离Sc(强中心距离)。文章介绍一种利用光声原理估算高炮射程及雹云距离的简便实用方法... 传统的防雹作业方法主要偏重射击方法的运用,却没有解决防雹炮弹弹丸能否进入云的有效部位的问题。解决这个问题的关键,就是要算出炮的射程Sg和雹云距离Sc(强中心距离)。文章介绍一种利用光声原理估算高炮射程及雹云距离的简便实用方法,并利用这两个参数,对传统的作业方法进行一些改进。 展开更多
关键词 光声原理 高炮射程 云距离 人工影响天气 人工防雹 作业方法
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机载激光雷达人工林单木分割方法比较和精度分析 被引量:31
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作者 李平昊 申鑫 +1 位作者 代劲松 曹林 《林业科学》 EI CAS CSCD 北大核心 2018年第12期127-136,共10页
【目的】研究分水岭算法、四次多项式拟合法和基于点云的距离判别聚类法对人工林单木分割的适用性,分析3种方法对人工林单木分割的精度,探索进行单木分割时3种方法关键参数的最优选择。【方法】结合地面实测数据和目视解译方法,计算单... 【目的】研究分水岭算法、四次多项式拟合法和基于点云的距离判别聚类法对人工林单木分割的适用性,分析3种方法对人工林单木分割的精度,探索进行单木分割时3种方法关键参数的最优选择。【方法】结合地面实测数据和目视解译方法,计算单木探测率、准确率和F得分,比较分水岭算法、四次多项式拟合法和基于点云的距离判别聚类法的单木分割精度,并通过改变栅格化冠层高度模型(CHM)的分辨率及调整基于点云的距离判别聚类法的距离阈值,分别对3种方法进行单木提取效果的敏感性分析。【结果】1)分水岭算法、四次多项式拟合法和基于点云的距离判别聚类法对人工林单木总体分割精度较高(F=0.76~0.83); 2)对于"复杂林型"样地,基于点云的距离判别聚类法的分割精度最高(F=0.78),优于分水岭算法(F=0.74)和四次多项式拟合法(F=0.53);对于"中等复杂林型"样地,基于点云的距离判别聚类法的分割精度最高(F=0.89),优于分水岭算法(F=0.84)和四次多项式拟合法(F=0.75);对于"简单林型"样地,基于点云的距离判别聚类法(F=0.89)、分水岭算法(F=0.89)和四次多项式拟合法(F=0.93)的分割精度都较高; 3)敏感性分析结果表明,当CHM分辨率为0.5 m×0.5 m时,分水岭算法和四次多项式拟合法的分割精度最高;当基于点云的距离判别聚类法的距离阈值近似样地平均冠幅半径时,其分割精度最高。【结论】对多种类型样地进行单木分割,体现了分水岭算法、四次多项式拟合法和基于点云的距离判别聚类法对人工林单木分割的适用性;结合多种类型样地充分评估并比较了3种方法对人工林单木分割的精度;通过对3种方法进行敏感性分析,阐述了进行单木分割时关键参数的最优选择。 展开更多
关键词 LiDAR 人工林 单木分割 分水岭算法 四次多项式拟合法 基于点距离判别聚类法
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Distribution Patterns and Associations of Dominant Tree Species in a Mixed Coniferous-Broadleaf Forest in the Changbai Mountains 被引量:9
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作者 ZHANG Meng-tao KANG Xin-gang +1 位作者 MENG Jing-hui ZHANG Li-xin 《Journal of Mountain Science》 SCIE CSCD 2015年第3期659-670,共12页
In 2012 a plot was established with 1-ha area in a mixed coniferous-broadleaf forest in the Changbai Mountains, northeastern China for examining local forest processes, structure and succession. A method of O-ring sta... In 2012 a plot was established with 1-ha area in a mixed coniferous-broadleaf forest in the Changbai Mountains, northeastern China for examining local forest processes, structure and succession. A method of O-ring statistics (pair- correlation function) was applied to analyze the spatial patterns and associations of the dominant species within different vertical layers. After the evaluation by their importance values, six tree species (or group) (i.e. Abies nephrolepis, Picea jezoensis, Pinus koraiensis, Tilia amurensis, and species group of Betula ssp. and species group of Acer ssp.) were determined as dominant trees species. It was found that some of these species exhibited closely clustered distributions at fine distances. As spatial distance increased, a random or even regular distribution gradually appeared with the exception of the upper layers of A. nephrolepis and P. koraiensis, and the lower layers of P. jezoensis, P. koraiensis and Betula ssp., which were substantially randomly distributed. Intra- and inter-species spatial associations varied in accordance with species, tree height and reciprocal distances. Positive associations were observed between the lower and upper height classes of trees of the same species (except for that of P. jezoensis) at fine distances. This may be owing to limited seed dispersal and geological heterogeneity. The aggregation intensity declines with increasing distances and this consistent with the predictions of self-thinning. Some coniferous trees (e.g. Pinus koraiensis) in the lower height class were positively associated with T. amurensis and group of Betula ssp. of the upper height class at some distances, suggesting that saplings of coniferous trees occupy a broader niche and can grow well under the canopy of the adult of broad-leaved trees. Negative associations were observed between upper coniferous trees and lower broad-leaved trees and between upper P. jezoensis and lower P. koraiensis, suggesting that a canopy of these trees might not provide suitable environment for the survival, establishment, and growth of o lower individuals, corresponding well to Janzen-Connell hypothesis. 展开更多
关键词 Mixed coniferous-broadleaf forest O-ring statistics Spatial pattern Spatial association Null model
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Cloud model-clustering analysis based evaluation for ventilation system of underground metal mine in alpine region 被引量:4
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作者 YAN Fang LI Zi-jun +4 位作者 DONG Long-jun HUANG Rui CAO Ri-hong GE Ji XU Kai-li 《Journal of Central South University》 SCIE EI CAS CSCD 2021年第3期796-815,共20页
Ventilation system is significant in underground metal mine of alpine region.Reasonable evaluation of ventilation effectiveness will lead to a practical improvement for the maintenance and management of ventilation sy... Ventilation system is significant in underground metal mine of alpine region.Reasonable evaluation of ventilation effectiveness will lead to a practical improvement for the maintenance and management of ventilation system.However,it is difficult to make an effective evaluation of ventilation system due to the lack of classification criteria with respect to underground metal mine in alpine region.This paper proposes a novel evaluation method called the cloud model-clustering analysis(CMCA).Cloud model(CM)is utilized to process collected data of ventilation system,and they are converted into cloud descriptors by CM.Cloud similarity(CS)based Euclidean distance(ED)is proposed to make clustering analysis of assessed samples.Then the classification of assessed samples will be identified by clustering analysis results.A case study is developed based on CMCA.Evaluation results show that ventilation effectiveness can be well classified.Moreover,CM is used alone to make comparison of evaluation results obtained by CMCA.Then the availability and validity of CMCA is verified.Meanwhile,difference of CS based ED and classical ED is analyzed.Two new clustering analysis methods are introduced to make comparison with CMCA.Then the ability of proposed CMCA to meet evaluation requirements of ventilation system is verified. 展开更多
关键词 ventilation system underground metal mine alpine region cloud model cloud similarity Euclidean distance
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Spatiotemporal Patterns of Road Network and Road Development Pri-ority in Three Parallel Rivers Region in Yunnan,China:An Evaluation Based on Modified Kernel Distance Estimate 被引量:7
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作者 YING Lingxiao SHEN Zehao +3 位作者 CHEN Jiding FANG Rui CHEN Xueping JIANG Rui 《Chinese Geographical Science》 SCIE CSCD 2014年第1期39-49,共11页
Road network is a critical component of public infrastructure,and the supporting system of social and economic development.Based on a modified kernel density estimate(KDE)algorithm,this study evaluated the road servic... Road network is a critical component of public infrastructure,and the supporting system of social and economic development.Based on a modified kernel density estimate(KDE)algorithm,this study evaluated the road service capacity provided by a road network composed of multi-level roads(i.e.national,provincial,county and rural roads),by taking account of the differences of effect extent and intensity for roads of different levels.Summarized at town scale,the population burden and the annual rural economic income of unit road service capacity were used as the surrogates of social and economic demands for road service.This method was applied to the road network of the Three Parallel River Region,the northwestern Yunnan Province,China to evaluate the development of road network in this region.In results,the total road length of this region in 2005 was 3.70×104km,and the length ratio between national,provincial,county and rural roads was 1∶2∶8∶47.From 1989 to 2005,the regional road service capacity increased by 13.1%,of which the contributions from the national,provincial,county and rural roads were 11.1%,19.4%,22.6%,and 67.8%,respectively,revealing the effect of′All Village Accessible′policy of road development in the mountainous regions in the last decade.The spatial patterns of population burden and economic requirement of unit road service suggested that the areas farther away from the national and provincial roads have higher road development priority(RDP).Based on the modified KDE model and the framework of RDP evaluation,this study provided a useful approach for developing an optimal plan of road development at regional scale. 展开更多
关键词 road network kernel density estimate(KDE) road service road development priority(RDP) Three Parallel Rivers Region China
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The Spatial-temporal Distribution and Their Statistical Characteristics of Foreshocks in the Yunnan Region
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作者 Zhao Xiaoyan Sun Nan Su Youjin 《Earthquake Research in China》 CSCD 2016年第2期166-176,共11页
We analyzed 223 earthquakes with M 1〉 5.0 that occurred in the Yunnan region during 1965 - 2014, among which 74 ( about 33. 2 % ) had foreshocks. There are great differences in foreshock populations in different te... We analyzed 223 earthquakes with M 1〉 5.0 that occurred in the Yunnan region during 1965 - 2014, among which 74 ( about 33. 2 % ) had foreshocks. There are great differences in foreshock populations in different tectonic blocks: the most abundant foreshocks occurred in the Lancang-Gengma and Tengchong-Baoshan blocks, which have the most abundant foreshocks in the Yunnan region. The predominant magnitude difference, time interval and spatial distance are 0. 5 -2. 9, within 10 days and within 20km, respectively. These characteristics can be used to forecast the mainshock after the identification of a foreshock. 展开更多
关键词 Yunnan region Foreshock Mainshock Magnitude difference
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