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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

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
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...
109
The Availability Heuristic01:08

The Availability Heuristic

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A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
6.0K
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

77
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
77
Reason and Intuition01:37

Reason and Intuition

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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相关实验视频

Updated: Jun 29, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

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大规模的群体共识多属性决策方法基于概率的双犹的模糊集.

Yuting Zhu1, Wenyu Zhang1,2, Junjie Hou1

  • 1China Aerospace Academy of Systems Science and Engineering, Beijing 100048, China.

Mathematical biosciences and engineering : MBE
|March 29, 2024
PubMed
概括

一种用于大规模集团决策的新共识方法使用概率学双犹模糊集来量化专家意见. 这种方法可以在复杂的模糊环境中提高决策能力,拥有20多名专家.

关键词:
达成共识的模式 达成共识的模式组分类模型的组分类模型.大规模的集团集团.多种属性的决策.概率学双重犹不决的模糊集合

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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

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A Two-interval Forced-choice Task for Multisensory Comparisons
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A Two-interval Forced-choice Task for Multisensory Comparisons

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相关实验视频

Last Updated: Jun 29, 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

2.5K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

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A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

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科学领域:

  • 决策科学 决策科学
  • 模糊逻辑系统 模糊逻辑系统
  • 运营研究 运营研究

背景情况:

  • 在模糊环境中进行大规模的集团决策存在重大挑战.
  • 现有的方法很难有效地整合各种各样的专家意见和不确定性.
  • 量化专家判断,包括会员和非会员程度,对于稳健的决策结果至关重要.

研究的目的:

  • 引入一种新的大型群体共识多属性决策方法.
  • 在模糊的环境中与众多专家一起解决决策的复杂性.
  • 为了有效量化和整合专家决策信息,使用概率学双犹的模糊集合.

主要方法:

  • 构建一个概率的双犹的模糊信息评估矩阵,并确定属性权重.
  • 根据有效性标准对专家组进行分类和选择最佳方案.
  • 实施达成共识和信息整合模型,以实现同步决策.

主要成果:

  • 一种用于大规模群体共识多属性决策的验证方法.
  • 在城市应急能力评估的案例研究中证明了有效性.
  • 通过对替代决策方法进行比较分析表明的优越性.

结论:

  • 拟议的方法有效地处理模糊环境中的大规模集团决策.
  • 概率学双犹模糊集为量化专家不确定性提供了一个强大的框架.
  • 该方法为需要共识的复杂决策场景提供了优越的方法.