AIMC Topic: Fuzzy Logic

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Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems.

PloS one Jan 3, 2017
Collective behaviour is a fascinating and easily observable phenomenon, attractive to a wide range of researchers. In biology, computational models have been extensively used to investigate various properties of collective behaviour, such as: transfe...
Animals Fuzzy Logic Decision Making Humans Algorithms Computer Simulation Video Recording Behavior, Animal Predatory Behavior Linguistics Models, Statistical Biology Fishes
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Efficient Approach for RLS Type Learning in TSK Neural Fuzzy Systems.

IEEE transactions on cybernetics Dec 29, 2016
This paper presents an efficient approach for the use of recursive least square (RLS) learning algorithm in Takagi-Sugeno-Kang neural fuzzy systems. In the use of RLS, reduced covariance matrix, of which the off-diagonal blocks defining the correlati...
Neural Networks, Computer Machine Learning Computer Simulation Fuzzy Logic Least-Squares Analysis
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Runtime Verification of Pacemaker Functionality Using Hierarchical Fuzzy Colored Petri-nets.

Journal of medical systems Dec 22, 2016
Today, implanted medical devices are increasingly used for many patients and in case of diverse health problems. However, several runtime problems and errors are reported by the relevant organizations, even resulting in patient death. One of those de...
Equipment Design Software Design Humans Pacemaker, Artificial Algorithms Fuzzy Logic
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Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree.

Journal of medical systems Dec 15, 2016
The aim of the article is to present a novel method for fuzzy medical image retrieval (FMIR) using vector quantization (VQ) with fuzzy signatures in conjunction with fuzzy S-trees. In past times, a task of similar pictures searching was not based on ...
Data Compression Humans Algorithms Decision Support Systems, Clinical Information Storage and Retrieval Pattern Recognition, Automated Fuzzy Logic Mammography
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Spatial Fuzzy C Means and Expectation Maximization Algorithms with Bias Correction for Segmentation of MR Brain Images.

Journal of medical systems Dec 13, 2016
The Fuzzy C Means (FCM) and Expectation Maximization (EM) algorithms are the most prevalent methods for automatic segmentation of MR brain images into three classes Gray Matter (GM), White Matter (WM) and Cerebrospinal Fluid (CSF). The major difficul...
Fuzzy Logic Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms
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Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic.

Computational intelligence and neuroscience Dec 12, 2016
Locating the assignable causes by use of the abnormal patterns of control chart is a widely used technology for manufacturing quality control. If there are uncertainties about the occurrence degree of abnormal patterns, the diagnosis process is impos...
Diagnosis, Computer-Assisted Humans Fuzzy Logic Algorithms Intelligence Decision Support Techniques
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Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.

PloS one Dec 9, 2016
This study describes a novel approach to reducing the challenges of highly nonlinear multiclass gene expression values for cancer diagnosis. To build a fruitful system for cancer diagnosis, in this study, we introduced two levels of gene selection su...
Genetic Testing Monte Carlo Method Humans Oligonucleotide Array Sequence Analysis Algorithms Neoplasms Genetic Predisposition to Disease Gene Expression Profiling Reproducibility of Results Gene Expression Regulation, Neoplastic ROC Curve Fuzzy Logic
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A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system.

Journal of hazardous materials Dec 6, 2016
Ammonia (NH) is considered one of the significant pollutions contributor to indoor air quality and odor gas emission from swine house because of the negative impact on the health of pigs, the workers and local environment. Prediction models could pro...
Regression Analysis Air Pollutants Linear Models Swine Animal Husbandry Fuzzy Logic Humidity Facility Design and Construction Ventilation Ammonia Gases Thinking Neural Networks, Computer Artificial Intelligence Algorithms Temperature Animals
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Fuzzy Computing Model of Activity Recognition on WSN Movement Data for Ubiquitous Healthcare Measurement.

Sensors (Basel, Switzerland) Dec 3, 2016
Ubiquitous health care (UHC) is beneficial for patients to ensure they complete therapeutic exercises by self-management at home. We designed a fuzzy computing model that enables recognizing assigned movements in UHC with privacy. The movements are m...
Humans Signal Processing, Computer-Assisted Acceleration Wearable Electronic Devices Pattern Recognition, Automated Models, Theoretical Movement Fuzzy Logic Computer Communication Networks Neural Networks, Computer Wireless Technology Algorithms Delivery of Health Care
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A New Method for Self-Estimation of the Severity of Obstructive Sleep Apnea Using Easily Available Measurements and Neural Fuzzy Evaluation System.

IEEE journal of biomedical and health informatics Nov 30, 2016
This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from stepwise regression to predict apnea-hypopnea index (AHI) for evaluating obstructive sleep apnea (OSA). The variables considered are the change statu...
Medical Informatics Regression Analysis Blood Pressure Sleep Apnea, Obstructive Body Mass Index Fuzzy Logic Models, Statistical Adult Sensitivity and Specificity Male Humans Middle Aged Retrospective Studies Female
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