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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...
5.4K
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
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
Normal and Tangetial Components: Problem Solving01:24

Normal and Tangetial Components: Problem Solving

182
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.
182
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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Language and Cognition01:27

Language and Cognition

354
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
354

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相关实验视频

Updated: Jul 12, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

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对于正常云相似性的语言多属性决策方法的研究.

Changlin Xu1,2, Li Yang1

  • 1School of Mathematics and Information Science, North Minzu University, Yinchuan 750021, China.

Heliyon
|October 27, 2023
PubMed
概括

本研究引入了一种新的正常云相似性方法,以解决语言多属性决策中的不确定性. 与现有技术相比,该方法显示出优越的相似性歧视,分类准确性和效率.

科学领域:

  • 决策科学 决策科学
  • 人工智能的人工智能
  • 可能性理论概率理论.

背景情况:

  • 语言多属性决策 (LMAD) 面临着不确定性和语言转换的挑战.
  • 现有的方法难以有效量化和比较不确定的语言信息.

研究的目的:

  • 提出一种基于正常云相似性的新决策方法,以处理语言不确定性.
  • 开发一种新的相似度测量标准云使用瓦瑟斯坦距离.
  • 在语言决策场景中验证方法的性能.

主要方法:

  • 开发了一种使用瓦瑟斯坦距离和正常云特征曲线的正常云相似度量.
  • 分析了拟议的相似度指标的属性.
  • 使用数值模拟和时间序列分类实验进行性能评估.
  • 将该方法应用于语言多属性决策,使用TOPSIS (通过与理想解决方案相似的优先顺序技术) 方法.

主要成果:

  • 拟议的正常云相似性方法对不确定的语言信息表现出强大的区分能力.
  • 在时间序列数据分类实验中实现了高分类准确性.
  • 证明了较低的计算成本 (CPU时间).
  • 成功应用于用于计划排名的语言多属性决策.
关键词:
包含的预期曲线.多个属性决策的决策.正常的云模型正常的云模型相似性衡量措施相似性衡量措施这是TOPSIS方法.瓦斯斯坦的距离是瓦斯斯坦的距离

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

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相关实验视频

Last Updated: Jul 12, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

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结论:

  • 新的正常云相似度有效地解决了LMAD中的不确定性语言转换问题.
  • 该方法为涉及语言数据的复杂决策问题提供了强大而高效的替代方案.
  • 与TOPSIS的整合为最终方案选择提供了实际框架.