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

Decision Making01:20

Decision Making

133
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...
133
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.5K
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...
5.5K
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
Reason and Intuition01:37

Reason and Intuition

6.5K
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...
6.5K
Information Processing Approach01:30

Information Processing Approach

60
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
60
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

122
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...
122

You might also read

Related Articles

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

Sort by
Same author

Mapping System-Assisted Bipolar Radiofrequency Ablation for the Treatment of Ventricular Tachycardia Associated With Ventricular Aneurysm.

JACC. Case reports·2026
Same author

AI-based Assessment of Risk Factors for Coronary Heart Disease in Patients With Diabetes Mellitus and Construction of a Prediction Model for a Treatment Regimen.

Reviews in cardiovascular medicine·2025
Same author

Effect of Curing Temperature on Crack Resistance of Low-Heat Portland Cement Hydraulic Lining Concrete.

Materials (Basel, Switzerland)·2025
Same author

Hydrogen-rich syngas upgrading via CO<sub>2</sub> adsorption by amine-functionalized Cu-BTC: the effect of different amines.

Environmental science and pollution research international·2024
Same author

Will Joining Cooperative Promote Farmers to Replace Chemical Fertilizers with Organic Fertilizers?

International journal of environmental research and public health·2022
Same author

What Drives Land Abandonment in Core Grain-Producing Areas? Evidence from China.

International journal of environmental research and public health·2022

Related Experiment Video

Updated: Jul 15, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

Multi-attribute fuzzy pattern decision making based on information systems.

Zhenduo Sun1, Xiangzhi Kong2

  • 1School of Science, Jiangnan University, Wuxi, 214122, China.

Scientific Reports
|September 30, 2023
PubMed
Summary

This study enhances multi-attribute decision-making using fuzzy pattern recognition. The novel approach simplifies complex calculations, offering a more efficient alternative to traditional methods like TOPSIS.

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.9K
Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

5.8K

Related Experiment Videos

Last Updated: Jul 15, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.9K
Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

5.8K

Area of Science:

  • Decision Sciences
  • Artificial Intelligence
  • Information Systems

Background:

  • Traditional multi-attribute decision-making (MADM) models can be computationally intensive.
  • Engaging decision-makers effectively is crucial for robust decision outcomes.
  • Fuzzy logic offers a framework for handling uncertainty in decision processes.

Purpose of the Study:

  • To introduce an innovative fuzzy pattern recognition approach for enhanced multi-attribute decision-making.
  • To develop a hybrid information system model for MADM.
  • To improve decision-maker engagement and streamline the decision process.

Main Methods:

  • Developed a multi-attribute fuzzy pattern recognition model within a hybrid information system.
  • Categorized and standardized attributes, transforming them into membership degrees using membership functions.
  • Determined optimal solutions by assessing similarity between standard and testing sets generated from the system.

Main Results:

  • The proposed method simplifies MADM by reducing computational steps compared to the TOPSIS model.
  • Consistent outcomes were maintained despite computational simplification.
  • Demonstrated applicability in multi-objective decision-making via a case study on evaluating educators.

Conclusions:

  • The fuzzy pattern recognition approach offers a more efficient and streamlined method for multi-attribute decision-making.
  • The model's adaptability and effectiveness are highlighted through practical examples and case studies.
  • This approach shows significant promise for improving decision-making processes in various fields.