AIMC Topic: Uncertainty

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A distance measure between intuitionistic fuzzy sets and its application in medical diagnosis.

Artificial intelligence in medicine Jun 19, 2018
The intuitionistic fuzzy set, as a generation of fuzzy set, can express and process uncertainty much better. Distance measures between intuitionistic fuzzy sets are used to indicate the difference degree between the information carried by intuitionis...
Fuzzy Logic Pattern Recognition, Automated Uncertainty Humans Diagnosis, Computer-Assisted
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Heart disease diagnosis based on mediative fuzzy logic.

Artificial intelligence in medicine May 30, 2018
Mediative fuzzy logic is an approach able to deal with inconsistent information providing a solution when contradiction exists. The aim of this paper is to design an expert system based on this type of fuzzy logic in order to diagnose a possible hear...
Humans Reproducibility of Results Expert Systems Uncertainty Fuzzy Logic Risk Factors Predictive Value of Tests Diagnosis, Computer-Assisted Heart Diseases
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Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections.

Neural networks : the official journal of the International Neural Network Society May 26, 2018
In this paper, we develop a novel optimal control strategy for a class of uncertain nonlinear systems with unmatched interconnections. To begin with, we present a stabilizing feedback controller for the interconnected nonlinear systems by modifying a...
Uncertainty Feedback Nonlinear Dynamics Neural Networks, Computer
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Conformal Regression for Quantitative Structure-Activity Relationship Modeling-Quantifying Prediction Uncertainty.

Journal of chemical information and modeling May 10, 2018
Making predictions with an associated confidence is highly desirable as it facilitates decision making and resource prioritization. Conformal regression is a machine learning framework that allows the user to define the required confidence and delive...
Decision Making Quantitative Structure-Activity Relationship Informatics Machine Learning Uncertainty
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An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

Artificial intelligence in medicine Apr 26, 2018
Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for treatment outcomes. The presented study identifies optimum mixture of patient demographic features wit...
Patient Acceptance of Health Care Income Patients Uncertainty Physician-Patient Relations Iran Female Reproducibility of Results Young Adult Adolescent Adult Socioeconomic Factors Educational Status Surveys and Questionnaires Humans Middle Aged Fuzzy Logic Delivery of Health Care Age Factors Male Hospitals Models, Statistical Trust Severity of Illness Index
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Capturing multi-stage fuzzy uncertainties in hybrid system dynamics and agent-based models for enhancing policy implementation in health systems research.

PloS one Apr 25, 2018
BACKGROUND: In practical research, it was found that most people made health-related decisions not based on numerical data but on perceptions. Examples include the perceptions and their corresponding linguistic values of health risks such as, smoking...
Algorithms Uncertainty Research Decision Making Models, Theoretical Delivery of Health Care Health Plan Implementation Fuzzy Logic
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Modeling biological systems with uncertain kinetic data using fuzzy continuous Petri nets.

BMC systems biology Apr 24, 2018
BACKGROUND: Uncertainties exist in many biological systems, which can be classified as random uncertainties and fuzzy uncertainties. The former can usually be dealt with using stochastic methods, while the latter have to be handled with such approach...
Uncertainty Kinetics Models, Biological Algorithms Fuzzy Logic
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Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review.

Computer methods and programs in biomedicine Apr 18, 2018
BACKGROUND AND OBJECTIVE: Diagnosis as the initial step of medical practice, is one of the most important parts of complicated clinical decision making which is usually accompanied with the degree of ambiguity and uncertainty. Since uncertainty is th...
Decision Support Systems, Clinical Image Processing, Computer-Assisted Models, Theoretical Humans Software Uncertainty Machine Learning Fuzzy Logic Algorithms Diagnostic Imaging
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Application of Bayesian networks in a hierarchical structure for environmental risk assessment: a case study of the Gabric Dam, Iran.

Environmental monitoring and assessment Apr 13, 2018
Environmental risk assessment (ERA) is a commonly used, effective tool applied to reduce adverse effects of environmental risk factors. In this study, ERA was investigated using the Bayesian network (BN) model based on a hierarchical structure of var...
Environmental Monitoring Bayes Theorem Water Pollution Neural Networks, Computer Risk Assessment Uncertainty Iran Floods
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Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2018
Fractional order system is playing an increasingly important role in terms of both theory and applications. In this paper we investigate the global existence of Filippov solutions and the robust generalized Mittag-Leffler synchronization of fractiona...
Neural Networks, Computer Feedback Uncertainty Algorithms
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