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35 results for “Fuzzy Evaluation”

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Research ArticleOpen accessIn the abstractConfidence Interval for Cpm Based on Dp,q DistanceBahram Sadeghpour Gildeh, Samaneh AsghariProblem statement: A measurement control system ensures that measuring equipment and measurement processes are fit for their intended use and its importance in achieving product quality objectives. Approach: The manufacturing industries have been making an extensive effort to implement Statistical Process Control (SPC) in their plants and supply bases. Results: Capability indices derived from SPC have received increasing usage not … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 8 Feb 2012 · 7,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge Management Capabilities RubricsAzizah bt Abdul Rahman, Sara HassaniProblem statement: Recently researchers discerned the vitality and importance of Knowledge Management Capabilities (KMC) evaluation in organizations. In fact evaluation of KMC helps to prevent failure in Knowledge Management (KM) projects. Approach: One of the most popular methods in the phase of evaluating KMC is Fuzzy method which evaluates seven attributes of KMC. Fuzzy needs KM experts to give their … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 15 Sep 2011 · 7,314 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Neuro-Fuzzy Techniques for Solar RadiationW. A. Rahoma, U. Ali Rahoma, A. H. HassanProblem statement: The prediction is very useful in solar energy applications because it permits to estimate solar data for locations where measurements are not available. The developed artificial intelligence models predict the solar radiation time series more effectively compared to the conventional procedures based on the clearness index. Approach: The forecasting ability of some models could be further enhanced with … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,077 accessesView PDFCite
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 · 6,457 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 · 6,981 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 abstractAdaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion ControlMbaitiga ZacharieProblem statement: Research into robot motion control offers research opportunities that will change scientists and engineers for year to come. Autonomous robots are increasingly evident in many aspects of industry and everyday life and a robust robot motion control can be used for homeland security and many consumer applications. This study discussed the adaptive fuzzy knowledge based controller for robot … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Based Decision Support System for Evaluating Land Suitability and Selecting CropsSri Hartati, Imas S. SitanggangProblem statement: Evaluating land suitability and selecting crops in modern agriculture is of critical importance to every organization. This is because the narrower area of land, the more effectiveness in planting is required in accordance with the desires of the land. Process of evaluating land suitability class and selecting plants in accordance with decision marker's requirements is complex and unstructured. … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,872 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Method for Accuracy Assessment of Sub-Pixel Classification ResultsH. Emami, B. MojaradiProblem statement: Classification accuracy assessment is the main stage of information extraction to evaluate the performance of a classifier. According to the output's classifiers (thematic map/fraction map), a properly strategy for accuracy assessment should be taken into consideration. Since pure pixels are used in traditional accuracy assessment of full pixel classifiers they are not suitable for assessment of sub-pixel classifiers. … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Assignment Procedure based on Categories' BoundariesGeorge Rigopoulos, John Psarras, Dimitrios Th. AskounisWe presented a procedure for multicriteria assignment problems. Assignment to a category is based on the comparison between an action and categories’s boundaries. Boundary is represented by the least typical action that can be included in the category, and is considered as the category’s inclusion threshold. Comparison is executed considering performance on evaluation criteria and calculation of a fuzzy inclusion … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 7,040 accessesView PDFCite