AIMC Topic: Fuzzy Logic
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A Boolean Consistent Fuzzy Inference System for Diagnosing Diseases and Its Application for Determining Peritonitis Likelihood.
Computational and mathematical methods in medicine
Nov 17, 2015
Fuzzy inference systems (FIS) enable automated assessment and reasoning in a logically consistent manner akin to the way in which humans reason. However, since no conventional fuzzy set theory is in the Boolean frame, it is proposed that Boolean cons...
Boundedness, Mittag-Leffler stability and asymptotical ω-periodicity of fractional-order fuzzy neural networks.
Neural networks : the official journal of the International Neural Network Society
Nov 11, 2015
We show that the ω-periodic fractional-order fuzzy neural networks cannot generate non-constant ω-periodic signals. In addition, several sufficient conditions are obtained to ascertain the boundedness and global Mittag-Leffler stability of fractional...
The Node Deployment of Intelligent Sensor Networks Based on the Spatial Difference of Farmland Soil.
Sensors (Basel, Switzerland)
Nov 11, 2015
Considering that agricultural production is characterized by vast areas, scattered fields and long crop growth cycles, intelligent wireless sensor networks (WSNs) are suitable for monitoring crop growth information. Cost and coverage are the most key...
PredyCLU: a prediction system for chronic leg ulcers based on fuzzy logic; part I - exploring the venous side.
International wound journal
Nov 6, 2015
Chronic leg ulcers (CLUs) are a common occurrence in the western population and are associated with a negative impact on the quality of life of patients. They also cause a substantial burden on the health budget. The pathogenesis of leg ulceration is...
Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.
Computer methods and programs in biomedicine
Nov 6, 2015
Female breast cancer is the second most common cancer in the world. Several efforts in artificial intelligence have been made to help improving the diagnostic accuracy at earlier stages. However, the identification of breast abnormalities, like masse...
Normal Distribution
Breast Neoplasms
Databases, Factual
Bayes Theorem
Breast
Pectoralis Muscles
Diagnosis, Computer-Assisted
Radiographic Image Interpretation, Computer-Assisted
Models, Statistical
Pattern Recognition, Automated
Nerve Net
Mammography
Female
Reproducibility of Results
Fuzzy Logic
Humans
Artificial Intelligence
Algorithms
A Spacecraft Electrical Characteristics Multi-Label Classification Method Based on Off-Line FCM Clustering and On-Line WPSVM.
PloS one
Nov 6, 2015
This paper proposes a novel multi-label classification method for resolving the spacecraft electrical characteristics problems which involve many unlabeled test data processing, high-dimensional features, long computing time and identification of slo...
A novel fuzzy logic-based image steganography method to ensure medical data security.
Computers in biology and medicine
Oct 27, 2015
This study aims to secure medical data by combining them into one file format using steganographic methods. The electroencephalogram (EEG) is selected as hidden data, and magnetic resonance (MR) images are also used as the cover image. In addition to...
Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span.
Medical engineering & physics
Oct 21, 2015
In this study, we present a method for measuring functional magnetic resonance imaging (fMRI) signal complexity using fuzzy approximate entropy (fApEn) and compare it with the established sample entropy (SampEn). Here we use resting state fMRI datase...
Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System.
PloS one
Oct 13, 2015
This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a ...
Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method.
TheScientificWorldJournal
Sep 30, 2015
Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-...
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