AIMC Topic: Decision Making

Clear Filters Showing 271 to 280 of 630 articles

Adaptive neurons compute confidence in a decision network.

Scientific reports Nov 12, 2021
Humans and many animals have the ability to assess the confidence of their decisions. However, little is known about the underlying neural substrate and mechanism. In this study we propose a computational model consisting of a group of 'confidence ne...
Humans Models, Neurological Decision Making Neurons Neural Networks, Computer Algorithms Brain
View on PubMed DOI

-Rung Orthopair Fuzzy Rough Einstein Aggregation Information-Based EDAS Method: Applications in Robotic Agrifarming.

Computational intelligence and neuroscience Oct 30, 2021
The main purpose of this manuscript is to present a novel idea on the -rung orthopair fuzzy rough set (-ROFRS) by the hybridized notion of -ROFRSs and rough sets (RSs) and discuss its basic operations. Furthermore, by utilizing the developed concept,...
Fuzzy Logic Decision Making Robotic Surgical Procedures Algorithms Uncertainty
View on PubMed DOI

The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Oct 22, 2021
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given...
Quality-Adjusted Life Years Netherlands Cost-Benefit Analysis Intensive Care Units Humans Markov Chains Decision Making Models, Economic Machine Learning Patient Readmission Patient Discharge
View on PubMed DOI

A novel MADM algorithm for landfill site selection based on q-rung orthopair probabilistic hesitant fuzzy power Muirhead mean operator.

PloS one Oct 21, 2021
With the rapid development of economy and the acceleration of urbanization, the garbage produced by urban residents also increases with the increase of population. In many big cities, the phenomenon of "garbage siege" has seriously affected the devel...
Fuzzy Logic Decision Making Probability Humans Refuse Disposal Algorithms Waste Disposal Facilities
View on PubMed DOI

A machine learning approach to predict extreme inactivity in COPD patients using non-activity-related clinical data.

PloS one Aug 19, 2021
Facilitating the identification of extreme inactivity (EI) has the potential to improve morbidity and mortality in COPD patients. Apart from patients with obvious EI, the identification of a such behavior during a real-life consultation is unreliable...
Female Aged Pulmonary Disease, Chronic Obstructive Male ROC Curve Decision Making Humans Machine Learning Algorithms Life Style Sedentary Behavior
View on PubMed DOI

Improving stock trading decisions based on pattern recognition using machine learning technology.

PloS one Aug 6, 2021
PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions. Four popular machine learning methods and 11 different features types are applied to all possible combinations of dail...
Commerce Investments Decision Making Models, Economic Neural Networks, Computer Machine Learning Forecasting
View on PubMed DOI

A process mining approach in big data analysis and modeling decision making risks for measuring environmental health in institutions.

Environmental research Jul 30, 2021
This paper aimed to introduce a process-mining framework for measuring the status of environmental health in institutions. The methodology developed a new software-based index namely Institutional Environmental Health Index (IEHI) that was integrated...
Big Data Fuzzy Logic Decision Making Environmental Health Data Analysis
View on PubMed DOI

Decision-Making Model of Product Modeling Big Data Design Scheme Based on Neural Network Optimized by Genetic Algorithm.

Computational intelligence and neuroscience Jul 29, 2021
At present, machine learning artificial neural network technology, as one of the core technologies of enterprises, has received unprecedented attention. This technology is widely used in automatic driving, pattern recognition, teaching aid, product m...
Algorithms Humans Big Data Neural Networks, Computer Decision Making Machine Learning
View on PubMed DOI

Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice.

Nature communications Jul 28, 2021
From a gym workout, to deciding whether to persevere at work, many activities require us to persist in deciding that rewards are 'worth the effort' even as we become fatigued. However, studies examining effort-based decisions typically assume that th...
Young Adult Adult Male Brain Female Reward Fatigue Frontal Lobe Adolescent Magnetic Resonance Imaging Decision Making Humans Neural Networks, Computer Choice Behavior Ventral Striatum
View on PubMed DOI

Explaining distortions in metacognition with an attractor network model of decision uncertainty.

PLoS computational biology Jul 26, 2021
Metacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions in metacognition are common in mental health disorders, though the neural underpinnings of such dysfunction are unknown. One reason for this is that mo...
Uncertainty Metacognition Models, Psychological Judgment Computational Biology Models, Neurological Decision Making Humans Neural Networks, Computer Bias Mental Disorders Psychomotor Performance Linear Models
View on PubMed DOI
Popular Topics
Recent Journals