Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Representativeness Heuristic02:13

The Representativeness Heuristic

15.9K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.9K
Confirmation Biases01:31

Confirmation Biases

5.6K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
5.6K
Social Proof00:52

Social Proof

27.7K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.7K
The Availability Heuristic01:08

The Availability Heuristic

6.1K
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):
6.1K
Stereotype Content Model02:16

Stereotype Content Model

14.8K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.8K
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

28.2K
The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
28.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of pulmonary hypertension dynamics and residual mitral regurgitation shortly after M-TEER on long-term outcomes: insights from a prospective registry.

Clinical research in cardiology : official journal of the German Cardiac Society·2025
Same author

Association of residual shunts after PFO closure with recurrent stroke risk: Single-center experience.

Kardiologia polska·2025
Same author

Atrial fibrillation's role in MitraClip patient outcomes: a retrospective analysis of mortality and heart failure hospitalization in a single-centre cohort.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese·2025
Same author

Stereotactic radiosurgery as neuromodulation of refractory angina: an initial case series.

Radiation oncology (London, England)·2025
Same author

Virtual Reality for Patient Education about Hypertension: A Randomized Pilot Study.

Journal of cardiovascular development and disease·2023
Same author

Preparticipation Screening of Athletes: The Prevalence of Positive Family History.

Journal of cardiovascular development and disease·2023
Same journal

Retraction Note: An automatic and intelligent brain tumor detection using Lee sigma filtered histogram segmentation model.

Soft computing·2026
Same journal

Retraction Note: A review on quantum computing and deep learning algorithms and their applications.

Soft computing·2026
Same journal

Retraction Note: Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation.

Soft computing·2026
Same journal

Retraction Note: Quantum K-means clustering method for detecting heart disease using quantum circuit approach.

Soft computing·2026
Same journal

Retraction Note: DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection: Nancy Girdhar.

Soft computing·2026
Same journal

Retraction Note: Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN.

Soft computing·2026
See all related articles

Related Experiment Video

Updated: Aug 10, 2025

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
06:42

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

Published on: September 28, 2018

11.7K

Three-level model for opinion aggregation under hesitance.

František Zapletal1, Miroslav Hudec1,2, Miloš Švaňa1

  • 1Department of Systems Engineering, Faculty of Economics, VŠB- Technical University of Ostrava, Sokolská 33, 70200 Ostrava, Czech Republic.

Soft Computing
|February 15, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel three-level model to analyze stakeholder opinions, effectively managing uncertainty and hesitance in survey responses for better decision-making.

Keywords:
Choquet integralDecision-making supportFuzzy logicHesitanceOpinion collectionRelative quantifierThree-level aggregation

More Related Videos

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

2.6K
Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
09:07

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

9.1K

Related Experiment Videos

Last Updated: Aug 10, 2025

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
06:42

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

Published on: September 28, 2018

11.7K
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

2.6K
Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
09:07

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

9.1K

Area of Science:

  • Decision Analysis
  • Data Analysis
  • Fuzzy Logic

Background:

  • Collecting stakeholder opinions is crucial for informed decision-making.
  • Challenges include managing opinion uncertainty, varying response rates, and group relevance.

Purpose of the Study:

  • To propose a three-level aggregation model for analyzing diverse stakeholder opinions.
  • To specifically address and manage the hesitance in respondents' rating scale answers.

Main Methods:

  • A three-level aggregation model using fuzzy numbers to represent uncertain opinions and hesitance.
  • Relative quantifier aggregation for group-level opinion validity.
  • Choquet integral for calculating consensus among stakeholder coalitions.

Main Results:

  • The model successfully computes individual respondent opinions considering uncertainty.
  • It evaluates group-level opinion validity and calculates consensus among diverse stakeholder coalitions.
  • Demonstrated effectiveness through a real-life case study.

Conclusions:

  • The proposed model provides a robust framework for analyzing complex stakeholder opinions.
  • It enhances decision-making by incorporating uncertainty and group dynamics.
  • Offers a practical approach for handling hesitance in survey data.