一个全面的框架来评估智能甘和制定战略:整合IFAHP,SWOT-IFTOPSIS和模糊的Shapley价值分析
1Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh, Saudi Arabia.
Disability and rehabilitation. Assistive technology
|July 1, 2025
概括
这项研究引入了评估智能手杖的新框架,优先考虑安全性和电池寿命. WeWALK智能被认为是领先的模型,为视力障碍者提供增强的移动性.
科学领域:
- 辅助技术研究 辅助技术研究
- 康复工程 康复工程 康复工程
- 人与计算机的互动.
背景情况:
- 视障人士需要先进的移动辅助工具.
- 现有的智能甘技术需要进行结构化的评估,以实现最佳的开发和选择.
- 一个全面的框架对于改善辅助设备至关重要.
研究的目的:
- 为智能甘技术提出一个综合评估框架.
- 通过SWOT分析,游戏理论和多标准决策 (MCDM) 的结合来评估智能棒.
- 引导智能甘技术的选择,开发和持续改进.
主要方法:
- 使用直觉模糊分析层次过程 (IFAHP) 进行标准加权.
- 采用了定制的SWOT矩阵和直觉模糊技术,以类似于理想解决方案的顺序偏好 (IFTOPSIS).
- 应用TOWS矩阵和模糊的Shapley值用于战略倡议生成和排名.
主要成果:
- 安全性,电池寿命和障碍物检测是用户至关重要的标准.
- 在评估的模型中,WeWALK智能排名最高.
- 确定了智能犬的关键战略因素和发展重点.
结论:
- 拟议的框架为智能甘评估提供了一种系统的方法.
- 研究结果为增强智能手杖的安全功能和连接提供了洞察力.
- 这项研究支持专业人员选择和改进视力障碍者辅助移动设备.
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