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40 results for “fuzzy membership”
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Research ArticleOpen accessIn the abstractParametric Deduction Optimization for Surface RoughnessTian-Syung LanProblem statement: Surface roughness is a major consideration in modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary for the industry. Approach: In this study, four parameters (cutting depth, feed … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,440 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstructing Fuzzy Time Series Model Based on Fuzzy Clustering for a ForecastingAshraf K. Abd Elaal, Hesham A. Hefny, Ashraf H. Abd ElwahabProblem statement: In this study researchers introduced a fuzzy time series model depending on fuzzy clustering to solve the problem in which the membership values are assumed as Song and Chissom model and to increase the performance of fuzzy time series model. Approach: Proposed model employed seven main procedures in time-invariant fuzzy time-series and time-variant fuzzy time series models. In … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 9,748 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Deduction Material Removal Rate Optimization for Computer Numerical Control TurningTian-Syung LanProblem statement: Material Removal Rate (MRR) is often a major consideration in the modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary proposed for the industry. Approach: In this study, … …American Journal of Applied Sciences, Vol. 7, Issue 7 · 31 Jul 2010 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Algorithmic Cost Estimation Model Based on Soft Computing TechniqueIman Attarzadeh, Siew Hock OwProblem statement: Software development effort estimation is the process of predicting the most realistic use of effort required for developing software based on some parameters. It has always characterized one of the biggest challenges in Computer Science for the last decades. Because time and cost estimate at the early stages of the software development are the most difficult to obtain … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,927 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 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Parametric of Sample Selection Model Using Heckman Two-Step Estimation ModelsM. S. Lola, A. A. Kamil, M.T. Abu OsmanProblem statement: It is well known that, the standard approach to estimating a sample selection models shows an inconsistent estimation results if the distributional assumption are incorrect. Approach: An important progress in the last decade to develop an alternative to overcome the deficiency is through the used of semi-parametric method. However, the usage of semi-parametric approach still does not cover … …American Journal of Applied Sciences, Vol. 6, Issue 10 · 31 Oct 2009 · 6,764 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach to Modeling and Flooding in Ad-hoc Wireless NetworksO. Issaad, S. Pierre, G. I. Ivascu, O. GarciaThis study proposes a new modeling approach for wireless ad-hoc networks. The new approach is based on the construction of fuzzy neighborhoods and essentially consists of assigning a membership or importance degree to each network radio link which reflects the relative quality of this link. This approach is first used to model the flooding problem and then an algorithm is … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Implementation of an Optimal Fuzzy Logic Controller Using Genetic AlgorithmS. Khan, S. F. Abdulazeez, L. W. Adetunji et al.All control systems suffer from problems related to undesirable overshoot, longer settling times and vibrations while going form one state to another state. Most of relevant techniques had been in the form of suggesting modification and improvement in the instrumentation or interfacing part of the control system and the results reported, remain suffering from shortcomings related to hardware parameter dependence … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 8,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy-GAs Model for Determining Varied Irrigation EfficiencyAnongrit Kangrang, Chavalit ChaleeraktrakoonIrrigation efficiency is necessary information in water resource management. We proposed fuzzy sets approach for estimating varied irrigation efficiency. Genetic algorithms technique was applied to calibrate membership function of fuzzy model. The fuzzy sets technique considered the uncertainty of the available water resource and required area as the input variables. The approach model was applied to determine the fluctuated irrigation … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 7,351 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAmeliorate Fuzzy C-Means: An Ameliorate Fuzzy C-Means Clustering Algorithm for CT-Lung Image SegmentationJ. Bridget Nirmala, S. GowriEffective and efficient image segmentation acts as a preliminary stage for the computer-aided diagnosis of medical images. For image segmentation, many FCM-based clustering techniques have been proposed. Regrettably, the existing FCM technique does not generate accurate and standardized segmentation results. This is due to the noise present in the image as well as the random initialization of membership values for … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 1 Oct 2013 · 6,819 accessesView PDFCite