基于模糊理论和云模型的在线乘车企业的双向决策分析
Mingliang Yu1, Gengsheng Zhao1, Zhanxin Ma2
1School of Innovation and Entrepreneurship (Public Experiment Center), University of Shanghai for Science and Technology, Shanghai, 200093, China.
Scientific reports
|August 20, 2025
概括
本研究介绍了一种使用模糊分析层次过程 (F-AHP) 和二维云模型的混合决策方法,以改善面向服务的企业的战略优化. 该方法通过整合定性和定量数据来提高决策能力,以获得更好的操作洞察力.
科学领域:
- 工商管理 工商管理
- 决策科学 决策科学 决策科学
- 人工智能的人工智能
背景情况:
- 当前的企业决策严重依赖于定量数据,这些数据往往无法捕捉运营不确定性.
- 面向服务的企业,如在线乘车服务 (ORH),需要适应动态市场的适应性策略.
研究的目的:
- 开发一种混合决策方法,将模糊分析层次过程 (F-AHP) 和二维云模型结合起来.
- 为以服务为导向的企业优化战略决策,使用ORH作为案例研究.
主要方法:
- 构建了一个聚焦企业管理和用户服务的多层索引系统.
- 应用F-AHP来确定索引权重,减少主观判断的模糊性.
- 利用二维的前向和后向云生成器将定性调查数据转换为定量评估.
主要成果:
- 混合方法有效地弥合了定量描述和定性概念.
- 通过与现有方法进行比较来验证有效性.
- 确定ORH企业的运营缺陷主要在于管理,而不是用户服务.
结论:
- 市场表现影响企业的运营规模.
- 用户服务质量对于企业未来的增长潜力至关重要.
- 提出的方法为复杂的企业战略优化提供了一个强大的方法.
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