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40 articles for “fuzzy membership”
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Research ArticleOpen accessIn the abstractA MODIFIED SPATIAL FUZZY C-MEANS CLUSTERING ALGORITHM FOR DETECTING GLAUCOMAIN RETINAL FUNDUS IMAGESS. J. Grace Shoba, A. Brintha ThereseGlaucoma is a disease which affects the eye and causes blindness. It is an ophthalmologist disease characterized by an increase in Intraocular Pressure (IOP). The glaucoma usually affects the optic disc on the retina which increases the cup size. There are various parameters to identify and diagnose glaucoma. The clustering technique is introduced to detect the glaucoma from the optic … …Journal of Computer Science, Vol. 10, Issue 8 · 5 Mar 2014 · 7,027 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL APPROACH BASED ON GENETIC FUZZY CLUSTERING AND ADAPTIVE NEURAL NETWORKS FOR SALES FORECASTINGAttariuas Hichama, Bouhorma Mohameda, El Fallahi AbdellahbThis article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and Back-Propagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter’s Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy … …Journal of Computer Science, Vol. 9, Issue 8 · 2 Jul 2013 · 6,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Ecotourism Travel Risk on Word-of-Mouth: Via Fuzzy Set PerspectiveFangyi Liu, Cheng-Hsi Fang, Hsueh-Lan Chan, Tom Meng-Yen LinBecause of the subjective cognition on Word-Of Mouth (WOM) influence and the fuzziness on perceived-risk judgment, perceived risk in WOM Influence is a venture variable, which cannot be measured directly. The aim of this study is to define the mathematics meaning of the influence and develop a new fuzzy set method to build the influence membership function to exactly measure … …American Journal of Applied Sciences, Vol. 10, Issue 5 · 31 May 2013 · 7,143 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 abstractA Real Time Practical Approach for Multi Objective Job Shop Scheduling Using Fuzzy Logic ApproachR. Ramkumar, A. Tamilarasi, T. DeviMulti objective Job Shop scheduling is a difficult task in both theoretical and practical solving issues. Problem statement: In the present scenario the modern Engineering and Industrial manufacturing units are facing lot of problems in many aspects such as machining time, raw material movement, man power requirement, electricity demand and customer satisfaction. Approach: A triangular fuzzy membership function is used … …Journal of Computer Science, Vol. 8, Issue 4 · 14 Feb 2012 · 6,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Implementation of Weighted Fuzzy Fisherface Algorithm for Face Recognition Using Wavelet TransformEsther Annlin Kala James, S. AnnaduraiProblem statement: The paper addresses the face recognition problem by proposing Weighted Fuzzy Fisherface (WFF) technique using biorthogonal transformation. The weighted fuzzy fisherface technique was an extension of Fisher Face technique by introducing fuzzy class membership to each training sample in calculating the scatter matrices. Approach: In weighted fuzzy fisherface method, weight emphasizes classes that were close together and deemphasizes … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,345 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 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 · 7,175 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Parametric Deduction for Material Removal Rate OptimizationTian-Syung LanProblem statement: A general optimization scheme without equipment operations for CNC (computer numerical control) finish turning is deemed to be necessarily developed. Approach: In this study, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) were considered to optimize the Material Removal Rate (MRR) based on L9(34) orthogonal array. Twenty-seven fuzzy control rules … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 31 Jan 2011 · 7,239 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Estimation of Rainfall using Fuzzy Set-Genetic Algorithms ModelTeerawat Thongwan, Anongrit Kangrang, Sahalaph HomwuttiwongProblem statement: Damaged by floods are natural disasters that have violence cause significant damage and economic and social. If we can prevent disasters that may occur in advance is important. So an estimated rainfall data is important information for prevention disasters. Approach: The objective of this study is to apply a fuzzy set theory to estimate rainfall. The genetic algorithm … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 28 Jan 2011 · 8,020 accessesView PDFCite