校正:基于双极复杂模糊语言的WASPAS方法对地理信息系统的合分析 Aczel-Alsina权力聚合运营商
PloS one
|September 11, 2025
概括
这项研究纠正了先前发表的一篇文章DOI. 它确保研究人员准确引用和检索科学信息.
科学领域:
- 图书统计学 图书统计学
- 科学出版科学出版
背景情况:
- 准确的引用对于科学完整性至关重要.
- 数字物体识别器 (DOI) 对于定位研究至关重要.
研究的目的:
- 为了纠正先前分配的DOI中的错误.
- 为了确保在未来的引用中引用正确的文章.
主要方法:
- 发布了一份纠正通知.
- 数字物体标识符 (DOI) 在出版记录中得到更新.
主要成果:
- 已经纠正了DOI的文章.
- 修正后的DOI确保了正确的物品识别.
结论:
- 这一修正维护了科学记录的可靠性.
- 确保DOI准确性有助于科学交流和发现.
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