组织科学研究的多标准质量评估方法,考虑异质信息
Cuilu Wang1,2, Lei Zhang3
1Equipment Management and UAV Engineering College, Air Force Engineering University, Xi'an , 710051, China.
Scientific reports
|November 11, 2025
概括
这项研究引入了一种新的多标准质量评估方法,用于有组织的科学研究. 它解决了当前方法的局限性,通过有效处理各种数据并考虑不确定性来进行更科学的质量评估.
科学领域:
- 科学研究管理科学研究管理
- 高等教育质量评估 高等教育质量评估
- 信息融合是一个信息融合.
背景情况:
- 目前对有组织的科学研究的多标准质量评估方法在指标构建方面缺乏明确性,并与异质信息作斗争.
- 现有的方法往往忽略了权重计算中的不确定性,并采用非科学信息融合机制.
研究的目的:
- 为组织科学研究提出一种新的多标准质量评估方法,有效处理异质信息.
- 通过解决指标构建,数据处理和信息融合方面的局限性,提高质量评估的科学严谨性.
主要方法:
- 开发了基于系统理论事故建模和过程理论的组织科学研究的评估指标,并纳入了上下文影响.
- 提出了一种涉及异质信息转换的方法,一种权重确定模型,一种信息融合机制和一种质量评估方法.
主要成果:
- 提出的方法显示了合理的施工指标,并有效地处理了数据中的不确定性和模糊性.
- 该算法成功地管理了异质的评估信息,显示了它对现有方法的优越性.
结论:
- 开发的方法为组织科学研究的多标准质量评估提供了更科学和更强大的方法.
- 这些发现表明该方法在现实世界的场景中具有适用性和有效性,特别是在大学环境中.
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