AIMC Topic:
Fuzzy Logic
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GIS Fuzzy Expert System for the assessment of ecosystems vulnerability to fire in managing Mediterranean natural protected areas.
Journal of environmental management
Dec 14, 2015
A significant threat to the natural and cultural heritage of Mediterranean natural protected areas (NPAs) is related to uncontrolled fires that can cause potential damages related to the loss or a reduction of ecosystems. The assessment and mapping o...
A Dual Hesitant Fuzzy Multigranulation Rough Set over Two-Universe Model for Medical Diagnoses.
Computational and mathematical methods in medicine
Dec 9, 2015
In medical science, disease diagnosis is one of the difficult tasks for medical experts who are confronted with challenges in dealing with a lot of uncertain medical information. And different medical experts might express their own thought about the...
Fuzzy State Transition and Kalman Filter Applied in Short-Term Traffic Flow Forecasting.
Computational intelligence and neuroscience
Dec 8, 2015
Traffic flow is widely recognized as an important parameter for road traffic state forecasting. Fuzzy state transform and Kalman filter (KF) have been applied in this field separately. But the studies show that the former method has good performance ...
An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems.
International journal of neural systems
Dec 1, 2015
This paper focuses on automatic fuzzy clustering problem and proposes a novel automatic fuzzy clustering method that employs an extended membrane system with active membranes that has been designed as its computing framework. The extended membrane sy...
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network.
IEEE transactions on neural networks and learning systems
Nov 18, 2015
This paper proposes a generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the electroencephalography (EEG) regression problem in brain dynamics...
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
Pectoralis Muscles
Breast
Diagnosis, Computer-Assisted
Bayes Theorem
Models, Statistical
Female
Pattern Recognition, Automated
Fuzzy Logic
Radiographic Image Interpretation, Computer-Assisted
Mammography
Nerve Net
Reproducibility of Results
Humans
Artificial Intelligence
Algorithms
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