A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease
S Muthukaruppan, MJ Er - Expert Systems with Applications, 2012 - Elsevier
This paper presents a particle swarm optimization (PSO)-based fuzzy expert system for the
diagnosis of coronary artery disease (CAD). The designed system is based on the …
diagnosis of coronary artery disease (CAD). The designed system is based on the …
A hybrid method for short-term traffic congestion forecasting using genetic algorithms and cross entropy
This paper presents a method of optimizing the elements of a hierarchy of fuzzy-rule-based
systems (FRBSs). It is a hybridization of a genetic algorithm (GA) and the cross-entropy (CE) …
systems (FRBSs). It is a hybridization of a genetic algorithm (GA) and the cross-entropy (CE) …
Modeling uncertainty with fuzzy logic
A Celikyilmaz, IB Turksen - Studies in fuzziness and soft computing, 2009 - Springer
The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this
afternoon? Should I take an umbrella with me? Will I be able to find parking near the …
afternoon? Should I take an umbrella with me? Will I be able to find parking near the …
Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection
Classification of intrusion attacks and normal network traffic is a challenging and critical
problem in pattern recognition and network security. In this paper, we present a novel …
problem in pattern recognition and network security. In this paper, we present a novel …
Review of aerospace engineering cost modelling: The genetic causal approach
The primary intention of this paper is to review the current state of the art in engineering cost
modelling as applied to aerospace. This is a topic of current interest and in addressing the …
modelling as applied to aerospace. This is a topic of current interest and in addressing the …
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system
Objective To develop a classifier that tackles the problem of determining the risk of a patient
of suffering from a cardiovascular disease within the next 10 years. The system has to …
of suffering from a cardiovascular disease within the next 10 years. The system has to …
A self-organized method for a hierarchical fuzzy logic system based on a fuzzy autoencoder
T Zhao, H Cao, S Dian - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
In this article, a novel design of a hierarchicalfuzzy system (HFS) based on a self-organized
fuzzy partition and fuzzy autoencoder is proposed. The initial rule set of the system is empty …
fuzzy partition and fuzzy autoencoder is proposed. The initial rule set of the system is empty …
Fuzzy logic in medicine and bioinformatics
The purpose of this paper is to present a general view of the current applications of fuzzy
logic in medicine and bioinformatics. We particularly review the medical literature using …
logic in medicine and bioinformatics. We particularly review the medical literature using …
Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles
In this paper, an ANFIS (adaptive neuro-fuzzy inference system) based autonomous flight
controller for UAVs (unmanned aerial vehicles) is described. To control the position of the …
controller for UAVs (unmanned aerial vehicles) is described. To control the position of the …
State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies
J Cao, H Liu, P Li, DJ Brown - IEEE transactions on intelligent …, 2008 - ieeexplore.ieee.org
This paper reviews computational-intelligence-involved approaches in active vehicle
suspension control systems with a focus on the problems raised in practical implementations …
suspension control systems with a focus on the problems raised in practical implementations …