AIMC Topic: Fuzzy Logic

Clear Filters Showing 1321 to 1330 of 1561 articles

An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

Computer methods and programs in biomedicine
BACKGROUND: There is a growing demand for women to be classified into different risk groups of developing breast cancer (BC). The focus of the reported work is on the development of an integrated risk prediction model using a two-level fuzzy cognitiv...

Fuzzy logic for characterizing the moderate intensity of physical activity in children.

Journal of science and medicine in sport
OBJECTIVES: The aim of this study was to better characterize the moderate intensity of PA among children by applying fuzzy logic as the most appropriate analytical approach. In this perspective, the 6-MWT was selected as a pertinent exercise modality...

Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques.

The Science of the total environment
This study focuses on correlations between total number concentrations, road traffic emissions and noise levels in an urban area in the southwest of Spain during the winter and summer of 2009. The high temporal correlation between sound pressure leve...

Fuzzy Stochastic Optimal Guaranteed Cost Control of Bio-Economic Singular Markovian Jump Systems.

IEEE transactions on cybernetics
This paper establishes a bio-economic singular Markovian jump model by considering the price of the commodity as a Markov chain. The controller is designed for this system such that its biomass achieves the specified range with the least cost in a fi...

A comparative study of surface EMG classification by fuzzy relevance vector machine and fuzzy support vector machine.

Physiological measurement
We present a multiclass fuzzy relevance vector machine (FRVM) learning mechanism and evaluate its performance to classify multiple hand motions using surface electromyographic (sEMG) signals. The relevance vector machine (RVM) is a sparse Bayesian ke...

Construction of a fuzzy and Boolean logic gates based on DNA.

Small (Weinheim an der Bergstrasse, Germany)
Logic gates are devices that can perform logical operations by transforming a set of inputs into a predictable single detectable output. The hybridization properties, structure, and function of nucleic acids can be used to make DNA-based logic gates....

Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks.

IEEE transactions on cybernetics
In this paper, the motion dynamics of a large tanker is modeled by the generalized ellipsoidal function-based fuzzy neural network (GEBF-FNN). The reference model of tanker motion dynamics in the form of nonlinear difference equations is established ...

Application of a two-stage fuzzy neural network to a prostate cancer prognosis system.

Artificial intelligence in medicine
OBJECTIVE: This study intends to develop a two-stage fuzzy neural network (FNN) for prognoses of prostate cancer.

Mode-dependent stochastic stability criteria of fuzzy Markovian jumping neural networks with mixed delays.

ISA transactions
This paper investigates the stochastic stability of fuzzy Markovian jumping neural networks with mixed delays in mean square. The mixed delays include time-varying delay and continuously distributed delay. By using the Lyapunov functional method, Jen...

Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis.

IEEE transactions on bio-medical engineering
Brace treatment is the most commonly used nonsurgical treatment for adolescents with idiopathic scoliosis. However, brace treatment is not always successful and the factors influencing its success are not completely clear. This makes treatment outcom...