AIMC Topic: Fuzzy Logic

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A Self-Adaptive Fuzzy -Means Algorithm for Determining the Optimal Number of Clusters.

Computational intelligence and neuroscience Nov 29, 2016
For the shortcoming of fuzzy -means algorithm (FCM) needing to know the number of clusters in advance, this paper proposed a new self-adaptive method to determine the optimal number of clusters. Firstly, a density-based algorithm was put forward. The...
Fuzzy Logic Humans Datasets as Topic Cluster Analysis Pattern Recognition, Automated Algorithms
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Asymptotic Fuzzy Neural Network Control for Pure-Feedback Stochastic Systems Based on a Semi-Nussbaum Function Technique.

IEEE transactions on cybernetics Nov 28, 2016
Most existing control results for pure-feedback stochastic systems are limited to a condition that tracking errors are bounded in probability. Departing from such bounded results, this paper proposes an asymptotic fuzzy neural network control for pur...
Feedback Fuzzy Logic Stochastic Processes Neural Networks, Computer
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Study on Failure of Third-Party Damage for Urban Gas Pipeline Based on Fuzzy Comprehensive Evaluation.

PloS one Nov 22, 2016
Focusing on the diversity, complexity and uncertainty of the third-party damage accident, the failure probability of third-party damage to urban gas pipeline was evaluated on the theory of analytic hierarchy process and fuzzy mathematics. The fault t...
Urban Renewal Fuzzy Logic Equipment Failure Analysis
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Two-Way Regularized Fuzzy Clustering of Multiple Correspondence Analysis.

Multivariate behavioral research Nov 21, 2016
Multiple correspondence analysis (MCA) is a useful tool for investigating the interrelationships among dummy-coded categorical variables. MCA has been combined with clustering methods to examine whether there exist heterogeneous subclusters of a popu...
Politics Least-Squares Analysis Monte Carlo Method Algorithms Humans Computer Simulation Fuzzy Logic Canada Software Cluster Analysis
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Assessing the quality of sardine based on biogenic amines using a fuzzy logic model.

Food chemistry Nov 17, 2016
There is an increasing concern about the quality and quality assessment procedures of seafood. In the present study, a model to assess fish quality based on biogenic amine contents using fuzzy logic model (FLM) is proposed. The fish used was sardine ...
Biogenic Amines Seafood Food Quality Animals Fuzzy Logic Fishes
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Determining Fuzzy Membership for Sentiment Classification: A Three-Layer Sentiment Propagation Model.

PloS one Nov 15, 2016
Enormous quantities of review documents exist in forums, blogs, twitter accounts, and shopping web sites. Analysis of the sentiment information hidden in these review documents is very useful for consumers and manufacturers. The sentiment orientation...
Support Vector Machine Fuzzy Logic Emotions Databases as Topic Models, Theoretical
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The Use of Stepper Motor-Controlled Proportional Valve for Fio Calculation in the Ventilator and its Control with Fuzzy Logic.

Journal of medical systems Nov 5, 2016
This article proposes the employment of a proportional valve that can calculate the amount of oxygen in the air to be given to patient in accordance with the amount of FiO which is set from the control menu of the ventilation device. To actualize thi...
Oxygen Therapy, Computer-Assisted Manometry Models, Theoretical Fuzzy Logic Humans Respiration, Artificial
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A novel algorithm for ventricular arrhythmia classification using a fuzzy logic approach.

Australasian physical & engineering sciences in medicine Nov 4, 2016
In the present study, it has been shown that an unnecessary implantable cardioverter-defibrillator (ICD) shock is often delivered to patients with an ambiguous ECG rhythm in the overlap zone between ventricular tachycardia (VT) and ventricular fibril...
Electrocardiography Fuzzy Logic Algorithms ROC Curve Humans Databases as Topic Heart Ventricles Tachycardia, Ventricular Arrhythmias, Cardiac Ventricular Fibrillation
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A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network.

Neural networks : the official journal of the International Neural Network Society Nov 3, 2016
In this paper, we extend our previous work on the Enhanced Fuzzy Min-Max (EFMM) neural network by introducing a new hyperbox selection rule and a pruning strategy to reduce network complexity and improve classification performance. Specifically, a ne...
Neural Networks, Computer Fuzzy Logic Datasets as Topic
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Mammogram Enhancement Using Intuitionistic Fuzzy Sets.

IEEE transactions on bio-medical engineering Nov 2, 2016
OBJECTIVE: Conventional mammogram enhancement methods use transform-domain filtering, which possibly produce some artifacts or not well highlight all local details in images. This paper presents a new enhancement method based on intuitionistic fuzzy ...
Breast Neoplasms Middle Aged Adult Sensitivity and Specificity Pattern Recognition, Automated Radiographic Image Enhancement Subtraction Technique Fuzzy Logic Mammography Algorithms Female Reproducibility of Results Aged Humans
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