期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Multidimensional Quality Evaluation of Graduate Thesis:Based on the Probabilistic Linguistic MABAC Method
1
作者 yuyan luo Xiaoxu Zhang +2 位作者 Tao Tong Yong Qin Zheng Yang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第11期2049-2076,共28页
Graduate education is the main way to train high-level innovative talents,the basic layout to cope with the global talent competition,and the important cornerstone for implementing the innovation-driven development st... Graduate education is the main way to train high-level innovative talents,the basic layout to cope with the global talent competition,and the important cornerstone for implementing the innovation-driven development strategy and building an innovation-driven country.Therefore,graduate education is of great remarkably to the development of national education.As an important manifestation of graduate education,the quality of a graduate thesis should receive more attention.It is conducive to promoting the quality of graduates by supervising and examining the quality of the graduate thesis.For this purpose,this work is based on textmining,expert interviews,and questionnaire surveys to obtain the factors influencing the quality of a graduate thesis first.Then,through three rounds of expert consultation,a multidimensional evaluation indicator system for the graduate thesis quality is built.Furthermore,probabilistic linguistic termsets(PLTSs)are utilized to obtain the initial evaluation information and apply the stepwise weight assessment ratio analysis method to determine the weights of attributes.In the ensuing step,the novel multi-attribute border approximation area comparison based on the PLTS method is established.Finally,the proposed method is employed in a case study concerning the quality evaluation of a graduate thesis and the effectiveness of this approach is further illustrated. 展开更多
关键词 Probabilistic linguistic term sets PL-MABAC SWARA quality evaluation graduate thesis
在线阅读 下载PDF
多氯萘的来源、排放特征及环境管理
2
作者 罗语焉 刘国瑞 《化学进展》 2025年第11期1704-1718,共15页
多氯萘(PCNs)是《斯德哥尔摩公约》管控的持久性有机化合物。因其持久性和长距离迁移性,PCNs广泛分布于环境中,甚至在青藏高原和北极等偏远地区也已被检测到。PCNs的环境来源主要包括作为历史化学品的使用和释放以及现代工业活动中的无... 多氯萘(PCNs)是《斯德哥尔摩公约》管控的持久性有机化合物。因其持久性和长距离迁移性,PCNs广泛分布于环境中,甚至在青藏高原和北极等偏远地区也已被检测到。PCNs的环境来源主要包括作为历史化学品的使用和释放以及现代工业活动中的无意产生和排放。精准量化其排放特征,对于制定针对性的污染防治策略、有效降低其在环境中的残留水平至关重要。本文总结了PCNs排放研究的现状,包括其排放源、排放因子及排放清单的编制进展。历史排放研究表明,PCNs的排放与工业化进程密切相关,多数地区呈现先上升后下降的趋势。无意排放的研究表明,不同行业和工艺的PCNs排放因子差异显著,且受污染控制措施的影响较大。尽管已有研究取得了一定进展,但全球PCNs排放的系统性研究仍显不足,尤其是在排放因子的测定和排放清单的编制方面。未来研究需进一步完善排放清单,加强监测和管理,以有效控制PCNs的环境风险。 展开更多
关键词 多氯萘 排放清单 持久性有机污染物 排放因子 环境管理
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部