基于优先级的麦克劳林对称平均积累运算符的患者优先级的q-Rung整形模糊的2元组语言WASPAS算法
Fatima Abbas1, Jawad Ali1, Wali Khan Mashwani1
1Institute of Numerical Sciences, Kohat University of Science and Technology, Kohat, KPK, Pakistan.
Scientific reports
|May 9, 2024
概括
这项研究引入了一种新的q-rung整形医疗模糊的2元组语言 (q-RF2L) 方法来确定患者优先级. 它结合了优先平均 (PA) 和麦克劳林对称平均 (MSM) 操作员,以改善医疗决策.
科学领域:
- 医疗决策的制定能力
- 模糊的集合理论 模糊的集合理论
- 计算智能是一种计算智能.
背景情况:
- 医疗领域固有的模糊性需要先进的工具来准确评估患者.
- 模糊的语言集,特别是 q-rung orthopair fuzzy 2-tuple语言 (q-RF2L) 集,为处理医学评估中的不确定性提供了一个强大的框架.
- 现有的方法可能无法完全捕捉专业判断和患者优先考虑的标准相关性的复杂相互作用.
研究的目的:
- 通过使用q-RF2L集,提出一种新的患者优先级决策方法.
- 通过在q-RF2L环境中整合优先平均 (PA) 和麦克劳林对称平均 (MSM) 来开发新的聚合运算符.
- 为 q-RF2L 决策问题扩展加权总和产品评估 (WASPAS) 方法.
主要方法:
- 开发q-RF2L优先麦克劳林对称平均值和q-RF2L优先双麦克劳林对称平均值运算符.
- 应用PA和MSM运营商来评估优先级和标准之间的相关性.
- 扩展WASPAS方法,以适应新开发的q-RF2L聚合运营商.
主要成果:
- 为 q-RF2L 环境量身定制的两个新型聚合运营商的引入.
- 成功扩展WASPAS方法以处理复杂的q-RF2L决策场景.
- 通过现实世界患者优先级案例研究来证明方法的有效性.
结论:
- 拟议的q-RF2L方法,整合PA和MSM,为复杂的医疗环境中的患者优先级提供了有效的工具.
- 新的聚合运算符和扩展的WASPAS方法提高了医疗决策中的不确定性和相互依存性的处理.
- 该方法为改善医疗保健中的患者评估和资源配置提供了实用和有效的解决方案.
更多相关视频
07:44Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis
Published on: March 23, 2019
17.7K
05:49Author Spotlight: Analgesic Effect of Tuina on Rat Models with Compression of the Dorsal Root Ganglion Pain
Published on: July 14, 2023
1.4K
相关概念视频
00:57Weighted Mean
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
01:17Wald-Wolfowitz Runs Test I
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
The test works...
01:15Routh-Hurwitz Criterion I
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
01:19Routh-Hurwitz Criterion II
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first column of the Routh...
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first column of the Routh...
01:20Midpoint Rule
Approximating areas under curved boundaries is a common problem in applied mathematics, particularly when an exact calculation is difficult or impractical. One effective numerical method for this purpose is the Midpoint Rule, which provides an estimate of the area under a curve by using rectangular approximations over a specified interval.Description of the Midpoint RuleThe Midpoint Rule begins by dividing the given interval into a number of equal subintervals. For each subinterval, the...
01:28Lagrange Multipliers: Two Constraints
The method of Lagrange multipliers with two constraints is used to optimize a function subject to two independent constraints. In many applications, the objective function represents a quantity to be maximized or minimized, such as cost, area, distance, or energy. The two constraints represent requirements that the solution must satisfy, such as fixed volume, limited resources, or prescribed dimensions.For a function of three variables, each constraint forms a surface in three-dimensional space.