AIMC Topic: Uncertainty

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Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.

Journal of biomedical informatics Apr 4, 2018
Rooted deeply in medical multiple criteria decision-making (MCDM), risk assessment is very important especially when applied to the risk of being affected by deadly diseases such as coronary heart disease (CHD). CHD risk assessment is a stochastic, u...
Clinical Decision-Making Female Humans Computer Simulation Fuzzy Logic Bayes Theorem Coronary Disease Uncertainty Risk Assessment Diagnosis, Computer-Assisted Risk Factors Male
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Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans.

International journal of environmental research and public health Apr 3, 2018
Hesitant fuzzy linguistic term set provides an effective tool to represent uncertain decision information. However, the semantics corresponding to the linguistic terms in it cannot accurately reflect the decision-makers' subjective cognition. In gene...
Reproducibility of Results Fuzzy Logic Humans Algorithms Linguistics Uncertainty Decision Making Fires
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Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties.

Neural networks : the official journal of the International Neural Network Society Mar 22, 2018
In this paper, the boundedness and robust stability for a class of delayed complex-valued neural networks with interval parameter uncertainties are investigated. By using Homomorphic mapping theorem, Lyapunov method and inequality techniques, suffici...
Time Factors Uncertainty Algorithms Computer Simulation Neural Networks, Computer
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Possible world based consistency learning model for clustering and classifying uncertain data.

Neural networks : the official journal of the International Neural Network Society Feb 27, 2018
Possible world has shown to be effective for handling various types of data uncertainty in uncertain data management. However, few uncertain data clustering and classification algorithms are proposed based on possible world. Moreover, existing possib...
Uncertainty Cluster Analysis Classification Machine Learning
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Design of nonlinear optimal control for chaotic synchronization of coupled stochastic neural networks via Hamilton-Jacobi-Bellman equation.

Neural networks : the official journal of the International Neural Network Society Feb 7, 2018
This paper presents a new theoretical design of nonlinear optimal control on achieving chaotic synchronization for coupled stochastic neural networks. To obtain an optimal control law, the proposed approach is developed rigorously by using Hamilton-J...
Nonlinear Dynamics Stochastic Processes Uncertainty Neural Networks, Computer
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Decentralized adaptive neural control for high-order interconnected stochastic nonlinear time-delay systems with unknown system dynamics.

Neural networks : the official journal of the International Neural Network Society Jan 5, 2018
This paper is concerned with the problem of decentralized adaptive backstepping state-feedback control for uncertain high-order large-scale stochastic nonlinear time-delay systems. For the control design of high-order large-scale nonlinear systems, o...
Time Factors Computer Simulation Uncertainty Nonlinear Dynamics Feedback Neural Networks, Computer Algorithms
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Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines.

PloS one Nov 2, 2017
Many automatically analyzable scientific questions are well-posed and a variety of information about expected outcomes is available a priori. Although often neglected, this prior knowledge can be systematically exploited to make automated analysis op...
Fuzzy Logic Animals Uncertainty Zebrafish Image Processing, Computer-Assisted
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An inexact multistage fuzzy-stochastic programming for regional electric power system management constrained by environmental quality.

Environmental science and pollution research international Oct 9, 2017
Electric power system involves different fields and disciplines which addressed the economic system, energy system, and environment system. Inner uncertainty of this compound system would be an inevitable problem. Therefore, an inexact multistage fuz...
Probability Electric Power Supplies Uncertainty Power Plants Fuzzy Logic Models, Theoretical Decision Making
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Composite learning from adaptive backstepping neural network control.

Neural networks : the official journal of the International Neural Network Society Sep 22, 2017
In existing neural network (NN) learning control methods, the trajectory of NN inputs must be recurrent to satisfy a stringent condition termed persistent excitation (PE) so that NN parameter convergence is obtainable. This paper focuses on command-f...
Feedback Uncertainty Nonlinear Dynamics Neural Networks, Computer Machine Learning
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Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2017
In this paper, we aim to tackle the neural robust tracking control problem for a class of nonlinear systems using the adaptive critic technique. The main contribution is that a neural-network-based robust tracking control scheme is established for no...
Nonlinear Dynamics Uncertainty Computer Simulation Feedback Neural Networks, Computer Machine Learning Algorithms
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