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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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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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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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.
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Normal and Tangetial Components: Problem Solving01:24

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Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
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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.
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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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基于双极复杂模糊的哈米平均运算符的决策支持系统.

Zhuoan Zhao1, Abrar Hussain2, Nan Zhang3

  • 1School of Economics and Management, Harbin Engineering University, Harbin, 150000, China.

Heliyon
|September 12, 2024
PubMed
概括

这项研究将双极复杂模糊集合理论引入多属性决策 (MADM) 以更好地汇总人类意见. 新的哈米平均运营商增强了对复杂,不确定的现实世界问题的决策算法.

关键词:
聚合运营商是一个聚合运营商.双极复杂的模糊值是双极复杂的模糊值.哈米意思是说哈米意思是说哈米投资政策 投资政策 投资政策多个属性决策的决策.

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科学领域:

  • 决策科学 决策科学
  • 模糊的数学 模糊的数学
  • 计算智能是一种计算智能.

背景情况:

  • 多属性决策 (MADM) 需要有效地聚合人类的意见.
  • 现有的模糊集合理论可能无法完全捕捉认知信息的细微差别.
  • 双极复杂模糊集提供了一个框架来表示意见的积极和消极方面.

研究的目的:

  • 扩展使用双极复杂模糊集的多属性决策 (MADM).
  • 开发新的聚合运营商来处理复杂的模糊信息.
  • 为现实生活中的困境提供强大的决策算法.

主要方法:

  • 探索双极复杂模糊集概念的探索.
  • 双极复杂模糊哈米平均值 (BCFHM) 和双哈米平均值 (DHM) 运算符的导数.
  • 双极复杂模糊加权哈米平均值 (BCFWHM) 和双极复杂模糊加权双哈米平均值 (BCFWDHM) 运算符的发展.
  • 为MADM问题建立决策算法.

主要成果:

  • 导出了新的BCFHM和DHM运算符,结合了双极复杂的模糊信息.
  • 拟议的运营商通过额外的参数有效地处理不确定的信息.
  • 一个案例研究证明了投资政策评估的开发方法的兼容性和有效性.

结论:

  • 开发的双极复杂模糊聚合运算符通过提供更细致的方法来聚合认知信息来增强MADM.
  • 拟议的决策算法为解决现实生活中的决策问题提供了一个兼容和一致的方法.
  • 该研究通过对现有运营商进行比较分析来验证拟议方法的优势.