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59 articles for “fuzzy order”
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Research ArticleOpen accessIn the abstractFuzzy Swarm Based Text SummarizationMohammed Salem Binwahlan, Naomie Salim, Ladda SuanmaliProblem statement: The aim of automatic text summarization systems is to select the most relevant information from an abundance of text sources. A daily rapid growth of data on the internet makes the achieve events of such aim a big challenge. Approach: In this study, we incorporated fuzzy logic with swarm intelligence; so that risks, uncertainty, ambiguity and imprecise values … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,414 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Product Multi-Constraint Inventory Control Systems with Stochastic Replenishment and Discount under Fuzzy Purchasing Price and Holding CostsAta Allah Taleizadeh, Seyed Taghi Akhavan Niaki, Mir-Bahador AryanezhadWhile in multi-periodic inventory control problems the usual assumption are that the orders are placed at the beginning of each period (periodic review) or depending on the inventory level they can happen at any time (continuous review), in this research, we relax these assumptions and assume that the periods between two replenishments of the products are independent and identically distributed … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 8,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Advantages of PID Fuzzy Controllers Over The Conventional TypesAbdullah I. Al-Odienat, Ayman A. Al-LawamaFuzzy logic controllers (FLC's) have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. A self-organizing fuzzy controller can automatically refine an initial approximate set of fuzzy rules. Application of PI-type fuzzy controller increases the quality factor. In this … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 18,041 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Routing AlgorithmAmer Nizar Abu AliIn this paper we propose a new method of routing in network. The method is based on vague set theory. Our routing method is both static and dynamic in nature and very frequent exchange of routing information is avoided in order to make the network faster. The approach method reduces to a method of fuzzy routing as a special case. … …American Journal of Applied Sciences, Vol. 5, Issue 3 · 31 Mar 2008 · 7,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractData-Driven Forecasting Schemes: Evaluation and ApplicationsJosip Vrbanek Jr, Wilson WangA reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven predictor for time series forecasting. Based on simulation analysis, it is found that multi-step-ahead forecasting schemes based on step inputs perform better than those based on sequential inputs. … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeedback of the Input Voltage in FDTC Control Using a Three-Level NPC-VSIR. Zaimeddine, E.M. BerkoukA new control structure for sensorless induction machine dedicated to electrical drives using a three-level voltage source inverter VSI-NPC is completely analysed. The amplitude and the rotating velocity of the flux vector could be controlled freely. Both fast torque and optimal switching logic could be achieved; the selection is based on the value of the stator flux and the torque. … …American Journal of Applied Sciences, Vol. 4, Issue 7 · 31 Jul 2007 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Automata Induction using Construction MethodMo Z. Wen, Wan MinRecurrent neural networks have recently been demonstrated to have the ability to learn simple grammars. In particular, networks using second-order units have been successfully at this task. However, it is often difficult to predict the optimal neural network size to induce an unknown automaton from examples. Instead of just adjusting the weights in a network of fixed topology, we adopt … …Journal of Mathematics and Statistics, Vol. 2, Issue 2 · 30 Jun 2006 · 7,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Meta-Heuristic for Multi-Objective Integrated Procurement, Production and Distribution Problem of Supply Chain Network Under Fuzziness UncertaintiesKaoutar Douaioui, Mouhsene Fri, Charif Mabrouki, El Alami SemmaIn this study, we devoted a design under uncertainty of a supply chain network composed of multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi- objective mixed integer linear programming which consider several constraints and optimize the total costs including the procurement, production, storage and distribution costs as well as maximize on-time deliveries. In … …Journal of Computer Science, Vol. 17, Issue 12 · 27 Dec 2021 · 6,633 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 · 7,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractSwarm Optimization Techniques for Segmenting Gel Electrophoresis ImagesSara Ibrahim Ibrahim, Mohamed Abd Allah Makhlouf, Ghada.S. El-Tawel, M.E. WahedGel Electrophoresis (GE) are discussed as the main tool to dissociate DNA sequences. It helps in analyzing the genome such that each image resulting from it consists of lanes that include several bands. Image segmentation plays the foremost role in image processing. It helps in producing accurate results in medical diagnosis. Image segmentation works by dividing an image into regions … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 18 Jun 2016 · 8,098 accessesView PDFCite