Journal Title:Intelligent Decision Technologies-netherlands
Intelligent Decision Technology - The Netherlands may be an academic or industry journal focused on the application of intelligent decision technology in various fields. Intelligent decision-making technology encompasses the use of advanced technologies such as artificial intelligence, big data analysis, and machine learning to assist or automate the decision-making process. This technology can help organizations and individuals make more accurate and efficient decisions in complex production and life problems.
The application scope of intelligent decision-making technology is very wide, including but not limited to the digital transformation of industrial enterprises, supply chain management, intelligent manufacturing, intelligent marketing, transportation optimization, infrastructure operation and other fields. It helps enterprises achieve global optimization and maximize comprehensive benefits by combining key technologies such as machine learning and operations optimization. The core advantages of intelligent decision-making technology lie in its proactivity, adaptability, and distributed characteristics. It can dynamically adjust decisions according to complex and changing environments, and at the same time, in the hierarchical structure of the system, various subjects can negotiate with each other, and each subject has the ability to make autonomous decisions.
《智能决策技术-荷兰》可能是一个专注于智能决策技术在各个领域应用的学术或行业期刊。智能决策技术涵盖了利用人工智能、大数据分析、机器学习等先进技术来辅助或自动化决策过程。这种技术可以帮助组织和个人在复杂的生产和生活问题中做出更加精准和高效的决策。
智能决策技术的应用范围非常广泛,包括但不限于工业企业的数智化转型、供应链管理、智能制造、智能营销、运输优化、基础设施运营等多个领域。它通过结合机器学习和运筹优化等关键技术,帮助企业实现全局优化和综合收益最大化。智能决策技术的核心优势在于其主动性、自适应性和分布式特点,能够根据复杂多变的环境动态调整决策,同时在系统层级结构中各个主体能够互相协商,每个主体具有自主决策的能力。
Intelligent Decision Technologies-netherlands由IOS Press出版商出版,收稿方向涵盖COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE全领域,平均审稿速度 ,影响因子指数0.6,该期刊近期没有被列入国际期刊预警名单,广大学者值得一试。
按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ESCI | Q4 | 185 / 197 |
6.3% |
按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ESCI | Q4 | 195 / 198 |
1.77% |
名词解释:
WOS即Web of Science,是全球获取学术信息的重要数据库,Web of Science包括自然科学、社会科学、艺术与人文领域的信息,来自全世界近9,000种最负盛名的高影响力研究期刊及12,000多种学术会议多学科内容。给期刊分区时会按照某一个学科领域划分,根据这一学科所有按照影响因子数值降序排名,然后平均分成4等份,期刊影响因子值高的就会在高分区中,最后的划分结果分别是Q1,Q2,Q3,Q4,Q1代表质量最高。
CiteScore | SJR | SNIP | CiteScore排名 | ||||||||||||||||||||||||||||
1.7 | 0.266 | 0.443 |
|
名词解释:
CiteScore:衡量期刊所发表文献的平均受引用次数。
SJR:SCImago 期刊等级衡量经过加权后的期刊受引用次数。引用次数的加权值由施引期刊的学科领域和声望 (SJR) 决定。
SNIP:每篇文章中来源出版物的标准化影响将实际受引用情况对照期刊所属学科领域中预期的受引用情况进行衡量。
是否OA开放访问: | h-index: | 年文章数: |
未开放 | -- | 78 |
Gold OA文章占比: | 2021-2022最新影响因子(数据来源于搜索引擎): | 开源占比(OA被引用占比): |
2.06% | 0.6 | |
研究类文章占比:文章 ÷(文章 + 综述) | 期刊收录: | 中科院《国际期刊预警名单(试行)》名单: |
94.87% | SCIE | 否 |
历年IF值(影响因子):
历年引文指标和发文量:
历年自引数据:
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