Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

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...

Information Processing Approach

Information Processing Approach

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...

Reason and Intuition

Reason and Intuition

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...

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...

Statically Indeterminate Problem Solving

Statically Indeterminate Problem Solving

Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...

You might also read

Related Articles

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

Sort by

Same author

High-Discrimination Comparison Algorithm for the Comprehensive Evaluation of Innovation Ability in Colleges and Universities under Uncertain Information.

Computational intelligence and neuroscience·2022

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 28, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

A Closed-Loop Method for Multiperiod Intelligent Information Processing with Cost Constraints under the Fuzzy

Ming Fu¹, Lifang Wang², Xueneng Cao¹

¹School of Management Science and Engineering, Anhui University of Finance & Economics, Bengbu 233030, Anhui, China.

Computational Intelligence and Neuroscience

|September 19, 2022

Summary

This study introduces a novel multiround decision-making model using continuously probabilistic linguistic sets for emergency management. The proposed algorithm effectively reduces costs and improves decision-making accuracy in complex, uncertain situations.

More Related Videos

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Related Experiment Videos

Last Updated: Aug 28, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Decision Sciences
Fuzzy Mathematics
Emergency Management

Background:

High-quality decision-making is critical, especially during emergencies, relying heavily on accurate data.
Traditional decision-making models often struggle with the inherent hesitation and fuzziness of complex problems.
Cost-effectiveness is a key consideration in selecting optimal solutions, particularly when multiple interventions are required.

Purpose of the Study:

To develop a decision-making framework that prioritizes cost reduction in emergency situations.
To introduce a multiround decision-making model capable of handling complex, evolving scenarios.
To utilize continuously probabilistic linguistic sets for robust data collection in uncertain environments.

Main Methods:

Employed continuously probabilistic linguistic sets to capture decision-maker hesitation and problem fuzziness.
Developed a multiround decision-making model featuring a closed-loop structure for iterative adjustments.
Integrated a closed-loop control module for real-time system verification and accuracy enhancement.

Main Results:

The proposed algorithm demonstrated superior effectiveness compared to existing methods.
Experiments confirmed significant cost reduction in emergency response scenarios.
The closed-loop system facilitated timely adjustments, enhancing overall decision accuracy.

Conclusions:

The novel decision-making algorithm and multiround model offer a more effective and cost-efficient approach to emergency management.
Continuously probabilistic linguistic sets provide a robust data structure for handling uncertainty in decision-making.
The closed-loop control mechanism is vital for maintaining accuracy and adaptability in dynamic situations.