AIMC Topic: Fuzzy Logic
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Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.
Computer methods and programs in biomedicine
Oct 16, 2014
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plant in a clinical dietary intervention. Even though a number of mathematical functions such as SPSS an...
Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization.
Computers in biology and medicine
Oct 14, 2014
BACKGROUND: Fuzzy logic can help reduce the difficulties faced by computational systems to represent and simulate the reasoning and the style adopted by radiologists in the process of medical image analysis. The study described in this paper consists...
Measuring quality of life with fuzzy numbers: in the perspectives of reliability, validity, measurement invariance, and feasibility.
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
Oct 14, 2014
PURPOSE: Fuzzy set theory (FST) can improve various aspects of measurement with questionnaires. However, very little is known about how to use FST to measure quality of life (QOL). The main purpose of our study was to find an appropriate fuzzy measur...
Fuzzy Integral-Based Gaze Control of a Robotic Head for Human Robot Interaction.
IEEE transactions on cybernetics
Oct 8, 2014
During the last few decades, as a part of effort to enhance natural human robot interaction (HRI), considerable research has been carried out to develop human-like gaze control. However, most studies did not consider hardware implementation, real-tim...
The effect of a supplementary ('Gist-based') information leaflet on colorectal cancer knowledge and screening intention: a randomized controlled trial.
Journal of behavioral medicine
Sep 25, 2014
Guided by Fuzzy Trace Theory, this study examined the impact of a 'Gist-based' leaflet on colorectal cancer screening knowledge and intentions; and tested the interaction with participants' numerical ability. Adults aged 45-59 years from four UK gene...
Weighted Fuzzy Interpolative Reasoning Based on the Slopes of Fuzzy Sets and Particle Swarm Optimization Techniques.
IEEE transactions on cybernetics
Sep 5, 2014
In this paper, we propose a new weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on the slopes of fuzzy sets. We also propose a particle swarm optimization (PSO)-based weights-learning algorithm to automatically...
An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination.
IEEE transactions on neural networks and learning systems
Aug 21, 2014
We propose an integrated mechanism for discarding derogatory features and extraction of fuzzy rules based on an interval type-2 neural fuzzy system (NFS)-in fact, it is a more general scheme that can discard bad features, irrelevant antecedent clause...
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.
IEEE transactions on neural networks and learning systems
Aug 13, 2014
This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine (ELM). Similar to the concept of ELM that employed the random initialization technique, th...
On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach.
IEEE transactions on cybernetics
Aug 5, 2014
In this paper, a novel approach to fuzzy sampled-data control of chaotic systems is presented by using a time-dependent Lyapunov functional. The advantage of the new method is that the Lyapunov functional is continuous at sampling times but not neces...
Alpha-plane based automatic general type-2 fuzzy clustering based on simulated annealing meta-heuristic algorithm for analyzing gene expression data.
Computers in biology and medicine
Jul 2, 2014
This paper considers microarray gene expression data clustering using a novel two stage meta-heuristic algorithm based on the concept of α-planes in general type-2 fuzzy sets. The main aim of this research is to present a powerful data clustering app...
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