评估室内定位系统:一个q球形模糊粗略的TOPSIS分析
Ahmad Bin Azim1, Asad Ali1, Abdul Samad Khan2
1Department of Mathematics and Statistics, Hazara University Mansehra 21300, Khyber Pakhtunkhwa, Pakistan.
Heliyon
|May 23, 2024
概括
这项研究引入了一种选择最佳技术的新方法,用于收集员工和客户行为的数据. 在q-球形模糊粗略的TOPSIS方法为企业决策提供了卓越的见解.
科学领域:
- 决策科学 决策科学
- 信息系统信息系统信息系统
- 行为经济学是一种行为经济学.
背景情况:
- 了解员工和客户的行为对于企业的成功至关重要.
- 传统的数据收集方法可能无法捕获细微的行为模式.
- 需要先进的方法来增强数据驱动的决策.
研究的目的:
- 研究先进的数据收集方法,以了解特定位置的员工和客户行为.
- 开发和评估一个新的多标准决策框架.
- 确定数据收集和行为分析的最有效的技术解决方案.
主要方法:
- 采用了一个全面的多标准决策 (MCDM) 框架.
- 根据四个不同的标准评估四种技术替代方案.
- 应用q-球形模糊粗略TOPSIS方法,结合下/上集合近似和参数q (q ≥ 1) 的应用.
主要成果:
- 提出的q-球形模糊粗 TOPSIS 方法在选择最佳技术方面表现出有效性.
- 这种新的方法将TOPSIS与q-spherical模糊粗略集合理论集成,提供了更深入的见解.
- 对比分析显示了该框架的强度和竞争力与现有的MCDM方法相比.
结论:
- 该研究成功地为选择先进数据收集技术提供了一个强大的框架.
- 该研究通过改善行为理解,提高了企业环境中的决策能力.
- 这项工作通过提供一种新有效的MCDM方法,为数据驱动决策领域做出了贡献.
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