正常波动概率犹不决的基于模糊的TODIM方法,用于最佳的固体废物处理方法选择.
1Institute of Numerical Sciences, Kohat University of Science and Technology, Kohat 26000, KPK, Pakistan.
Heliyon
|February 3, 2025
概括
这项研究引入了正常波动的概率犹不决的模糊TODIM (NWPHFT) 方法,通过结合隐藏数据来增强决策. 这种新的方法通过新的模糊集运算和重量确定模型改善了多标准决策 (MCDM).
科学领域:
- 决策科学 决策科学
- 模糊的集合理论 模糊的集合理论
- 运营研究 运营研究
背景情况:
- 传统的概率犹不决的模糊集 (PHFS) 捕获明确的概率数据.
- 需要捕捉传统方法遗漏的潜在细节.
- 多标准决策 (MCDM) 往往涉及不确定性和不完整的信息.
研究的目的:
- 为了引入一个新的扩展TODIM方法使用正常波动概率犹不决的模糊集合 (NWPHFS).
- 为NWPHFS开发新的距离测量和操作.
- 解决未知标准权重的MCDM问题.
主要方法:
- 定义了NWPHFS的减法和除法运算.
- 开发并检查了NWPHFS特定距离测量的特性.
- 使用最大化偏差和拉格朗奇函数来确定标准权重的既定优化模型.
- 在MCDM中将TODIM方法扩展到NWPHFT.
主要成果:
- 开发了NWPHFT方法,整合了NWPHFS距离测量和重量确定模型.
- 该方法应用于固体废物处理场所选择问题.
- 敏感性分析和比较证明了该方法的稳定性和有效性.
结论:
- 拟议的NWPHFT方法有效地处理不确定和不完整信息的MCDM问题.
- 新的NWPHFS框架增强了决策中的数据表示.
- 该方法为复杂的选择任务提供了强大而稳定的解决方案.
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