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59 articles for “fuzzy order”
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Research ArticleOpen accessIn the abstractA Neuro Fuzzy Technique for Process Grain Scheduling of Parallel JobsS. V. Sudha, K. ThanushkodiProblem statement: We present development of neural network based fuzzy inference system for scheduling of parallel Jobs with the help of a real life workload data. The performance evaluation of a parallel system mainly depends on how the processes are co scheduled? Various co scheduling techniques available are First Come First Served, Gang Scheduling, Flexible Co Scheduling and Agile Algorithm … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,460 accessesView PDFCite
Research ArticleOpen accessIn the abstractSubway Train Braking System: A Fuzzy Based Hardware ApproachMamun Bin Ibne Reaz, Jubayer Jalil, Hafizah Husain, Badariah BaisProblem statement: Automated subway train-braking system require perfection, efficiency and fast response. In order to cope with this concerns, an appropriate algorithm need to be developed which need to be implemented in hardware for faster response. Approach: In this research, the FPGA realization of fuzzy based subway train braking system has been presented on an Alter FLEX10K device to provide … …American Journal of Applied Sciences, Vol. 8, Issue 7 · 24 Jun 2011 · 7,179 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of Synthetic Optimizing Neuro Fuzzy Temperature Controller for Dual Screw Profile Plastic Extruder Using LabviewRavi Samikannu, Balakrishnan Anantharaman PoonamallieProblem statement: The temperature control in plastic extrusion machine is an important factor to produce high quality plastic products. The first order temperature control system in plastic extrusion comprises of coupling effects, long delay time and large time constants. Controlling temperature is very difficult as the process is multistage process and the system coupled with each other. In order to … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Descriptive Framework for the Multidimensional Medical Data Mining and RepresentationVeeramalai Sankaradass, Kannan ArputharajProblem statement: Association rule mining with fuzzy logic was explored by research for effective datamining and classification. Approach: It was used to find all the rules existing in the transactional database that satisfy some minimum support and minimum confidence constraints. Results: In this study, we propose new rule mining technique using fuzzy logic for mining medical data in order to … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractSynchronization of Chaos Systems Using Fuzzy LogicMohammad Ababneh, Issa Etier, Mahmoud Smadi, Jasim GhaebProblem statement: This study presented a new and systematic method to robustly synchronize uncertain chaos systems. It was derived based on the observer approach for synchronization, where error dynamics was made asymptotically stable around the zero to accomplish synchronization. Approach: This method viewed the synchronization problem as a control problem in order to make use of the literature available in … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeight of Evidence Allocates Mineral Depositional ZonesAbdullah A. Bokhari, Guang Dao HU, Rani FouadProblem statement: Yunnan province in general and Pulang area in particular is geological rich area which prevents field study in multi locations due to high risk outcrop. Approach: New technology such as Geographic Information System (GIS) and an ArcView extension module Arcweight of evidence (WofE) became very handy to provide safety for researchers and allow organization to control their budget. … …American Journal of Environmental Sciences, Vol. 6, Issue 6 · 31 Dec 2010 · 6,986 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Computer Aided Diagnosis System for Lung Cancer Detection\Using Support Vector MachineM. Gomathi, P. ThangarajProblem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid of Fuzzy and Proportional-Integral-Derivative Controller for Electro-Hydraulic Position Servo SystemPornjit Pratumsuwan, Siripun Thongchai, Surapun TansriwongProblem statement: While classical PID controllers are sensitive to variations in the system parameters, Fuzzy controllers do not need precise information about the system variables in order to be effective. However, PID controllers are better able to control and minimize the steady state error of the system. To enhance the controller performance, hybridization of these two controller structures comes to … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 10,519 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Test Time for System-on-Chip Designs using Fuzzy Logic and Process AlgebraG. Rohini, S. SalivahananProblem statement: Test scheduling is crucially important for optimal SoC test automation to allocate the limited available test resources. In this study we introduced a fuzzy based engine to allocate test resources. The minimized test application time can be achieved by test pipelining. However the test power consumption incurred during test procedure must be controlled in order not to offend … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing an Adaptative Fuzzy-Logic System to Optimize the Performances and the Reduction of Chattering Phenomenon in the Control of Induction MotorM. M. Krishan, L. Barazane, A. KhwaldehProblem statement: Neural networks and fuzzy inference systems are becoming well-recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance. Also, by combining these two features, more versatile and robust models, called “neuro-fuzzy” architectures have been developed. The mo Approach: Motivation behind the use of neuro-fuzzy approaches was based on … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,526 accessesView PDFCite