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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53
Alternative Sets of Equilibrium Equations01:31

Alternative Sets of Equilibrium Equations

391
When analyzing the behavior of structures, engineers often rely on the concept of equilibrium. This refers to the state where all forces and moments acting on a system balance each other, resulting in no net movement or rotation. In many cases, equilibrium can be described by a set of standard equations. However, in some situations, alternative sets of equilibrium equations must be used to describe the system's behavior accurately.
One example of such a situation can be observed in a...
391
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Decision Making01:20

Decision Making

109
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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相关实验视频

Updated: Jun 30, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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动态非线性简化中性学集合用于多属性组决策.

Junda Qiu1, Linjia Jiang2, Honghui Fan1

  • 1School of Computer Engineering, Jiangsu University of Technology, Changzhou, 213001, PR China.

Heliyon
|March 19, 2024
PubMed
概括

本研究引入了动态非线性简化中性质集 (DNSNS),以建模在群组决策中变化的专家偏好. 介绍了一种新的聚合模型和决策算法,以改进实时分析.

关键词:
聚合模型是一个聚合模型.决策算法 决策算法动态非线性简化的中性学集合.多种属性组决策方式这里是TOPSIS的地图.

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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科学领域:

  • 决策科学 决策科学 决策科学
  • 模糊的集合理论 模糊的集合理论
  • 人工智能的人工智能

背景情况:

  • 专家偏好是动态和复杂的,对传统的决策模式构成挑战.
  • 现有的方法经常与实时数据和主观不确定性作斗争.

研究的目的:

  • 为实时专家偏好表示提出一个动态非线性简化中性质组 (DNSNS).
  • 为多属性组决策 (MAGDM) 问题开发一个聚合模型和决策算法.

主要方法:

  • 引入了具有相似性,和距离测量的DNSNS.
  • 将DNSNS时间序列投影成3D曲线来表示变量.
  • 开发了一种植物生长模拟算法 (PGSA) 扩展聚合算法.
  • 提出了一个基于TOPSIS和投影理论的决策算法.

主要成果:

  • 在没有数据预处理的情况下建立了DNSNS聚合模型.
  • 计算了最佳聚合偏好曲线和集体矩阵.
  • 获得了MAGDM问题的替代方案的总体排名.
  • 通过案例研究证明了可行性和有效性.

结论:

  • 拟议的DNSNS模型有效地捕捉了实时变化的专家偏好.
  • 开发的聚合和决策算法为MAGDM提供了强大的解决方案.
  • 该方法提供了一种在动态决策环境中处理不确定性的新方法.