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85 results for “Fuzzy set”
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Research ArticleOpen accessIn the abstractA Fuzzy Fast Classification for Share Market Database with Lower and Upper BoundsSrinivasan Vaiyapuri, Rajenderan Govind, Vandar Kuzhali JaganathanIn recent years, many researchers focused on the research topic of constructing fuzzy classification system. This study introduces a Fuzzy Fast Classification (FFC) approach for large data sets. It has three phases, in the first phase the large data base is reduced with the entropy by removing the number of attribute. In the second phase an approximate classification is obtained … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 8 Nov 2012 · 6,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeed Control of Switched Reluctance Motor Using New Hybrid Particle Swarm OptimizationT. V. Mahendiran, K. Thanushkodi, P. ThangamProblem statement: The main objective of this research is to obtain the speed control of switched reluctance motor with minimum settling time and without overshoot. Approach: A new algorithm has been developed with the combination of differential evolution and particle swarm optimization and applied for speed control of switched reluctance motor under sudden change in speed. Also speed control of … …Journal of Computer Science, Vol. 8, Issue 9 · 10 Aug 2012 · 7,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Development of an Intelligent Control by Using Bee Colony Optimization TechniqueS. Tiacharoen, T. ChatchanayuenyongProblem statement: In the modern industrial manufacturing system, the efficiency of machine control is essential to reduce waste and increase the output. Most of the manufacturing machines employ an induction motor in their driving system. A number of induction motors must be controlled during machine operation. The more accurately these motors are controlled the higher is the quality of the … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 4 Aug 2012 · 6,806 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Adaptive Neuro-Fuzzy Inference System for Information SecuirtyAltyeb Altaher, Ammar Almomani, Sureswaran RamadassProblem statement: Computer networks are expanding at very fast rate and the number of network users is increasing day by day, for full utilization of networks it need to be secured against many threats including malware, which is harmful software with the capability to damage data and systems. Fuzzy rule based classification systems considered as an active research area in … …Journal of Computer Science, Vol. 8, Issue 6 · 23 Apr 2012 · 7,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractHot Resistance Estimation for Dry Type Transformer Using Multiple Variable Regression, Multiple Polynomial Regression and Soft Computing TechniquesM. Srinivasan, A. KrishnanProblem statement: This study presents a novel method for the determination of average winding temperature rise of transformers under its predetermined field operating conditions. Rise in the winding temperature was determined from the estimated values of winding resistance during the heat run test conducted as per IEC standard. Approach: The estimation of hot resistance was modeled using Multiple Variable Regression … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 22 Dec 2011 · 7,410 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimum Setting of Controller Using Soft Computing Techniques for a Chemical SystemG. Glandevadhas, S. Pushpakumar, S.V. Muruga PrasadProblem statement: The aim of this study is to present an intelligent tuning technique for PID controller that are simple and still result in good closed loop behavior. The idea is to start with a tuned conventional PID controller, replace it with an equivalent intelligent controllers like Fuzzy, ANN, Genetic and PSO techniques implies fine tuned nonlinear PID controller which … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 6 Oct 2011 · 7,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Software Reliability Growth Models for Industrial Applications Using Fuzzy LogicSultan AljahdaliProblem statement: The utilization of Software Reliability Growth Models (SRGM) plays a major role in monitoring progress, accurately predicting the number of faults in the software during both development and testing processes; define the release date of a software product, helps in allocating resources and estimating the cost for software maintenance. This leads to achieving the required reliability level of … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference SystemV.M. Varatharaju, Badrilal Mathur, UdhayakumarProblem statement: The tuning methodology for the parameters of adaptive speed controller causes a transient deviation of the response from the set reference following variation in load torque in a permanent-magnet brushless DC (BLDC) motor drive system. Approach: This study develops a mathematical model of the BLDC drive system, firstly. Secondly, discusses a design of the closed loop drive system … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 6,941 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Rough Set based Gene Expression Clustering AlgorithmJ. Jeba Emilyn, K. RamarProblem statement: Microarray technology helps in monitoring the expression levels of thousands of genes across collections of related samples. Approach: The main goal in the analysis of large and heterogeneous gene expression datasets was to identify groups of genes that get expressed in a set of experimental conditions. Results: Several clustering techniques have been proposed for identifying gene signatures and … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,830 accessesView PDFCite