基于多源异质数据融合的旅游企业智能决策支持平台的研究
1School of Economics and Management, Nanchang Vocational University, Nanchang, 330500, Jiangxi, China. m18720901057@163.com.
Scientific reports
|November 13, 2025
概括
本研究介绍了旅游业的智能决策支持平台,提高了决策准确性和速度. 它提高了企业在动态市场中的环境适应能力和竞争优势.
科学领域:
- 商业情报 (BI) 是一种商业情报.
- 数据科学数据科学数据科学
- 旅游管理 旅游管理
背景情况:
- 旅游企业在动态市场中面临决策延迟和准确性问题.
- 有效的决策支持对于应对市场波动和保持竞争力至关重要.
研究的目的:
- 为旅游企业开发一个智能决策支持平台,使用多源异质数据融合.
- 提高决策准确性,缩短响应时间,提高旅游部门的环境适应能力.
主要方法:
- 一个新的混合数据融合算法,整合了加权平均,贝叶斯推理和Dempster-Shafer证据理论.
- 开发一个多维环境适应性评估框架.
- 实时决策优化模型的实施,具有自学能力.
主要成果:
- 显著提高决策准确性 (平均增加18.96%) 和减少响应时间 (78.4%).
- 通过市场响应,风险预测和资源优化来提高环境适应能力.
- 证明了相当大的成本效益比率 (3.4:1) 和持续的竞争优势.
结论:
- 智能决策支持平台有效地应对动态旅游环境中的决策挑战.
- 该平台为旅游企业促进数字化转型和战略决策.
- 混合数据融合方法为复杂的数据集成提供了卓越的准确性和适应性.
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