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52 results for “TS fuzzy models”

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Research ArticleOpen accessIn the abstractIntelligent Voice-Based Door Access Control System Using Adaptive-Network-based Fuzzy Inference Systems (ANFIS) for Building SecurityWahyudi, Winda Astuti, Syazilawati MohamedSecure buildings are currently protected from unauthorized access by a variety of devices. Even though there are many kinds of devices to guarantee the system safety such as PIN pads, keys both conventional and electronic, identity cards, cryptographic and dual control procedures, the people voice can also be used. The ability to verify the identity of a speaker by analyzing … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 8,556 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Control for Self-erecting Inverted Pendulum Via Adaptive Neuro-fuzzy Inference SystemA. A. Saifizul, Z. Zainon, N. A.Abu Osman et al.A self-erecting single inverted pendulum (SESIP) is one of typical nonlinear systems. The control scheme running the SESIP consists of two main control loops. Namely, these control loops are swing-up controller and stabilization controller. A swing-up controller of an inverted pendulum system must actuate the pendulum from the stable position. While a stabilization controller must stand the pendulum in the … …American Journal of Applied Sciences, Vol. 3, Issue 4 · 30 Apr 2006 · 7,326 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 abstractImplementing the Current Science and Citizenship Mandates: A Learning Theory Analysis and Set of RecommendationsLisa Erikson, James CarifioProblem statement: The purpose of this research was to use learning theory to analyze the relationships between current views of citizenship, citizenship education, science and science education to develop a reasonably coherent and integrated view and approach to science and citizenship mandates that can be successfully implemented in our schools. Approach: The three models of citizenship education currently competing for … …Journal of Social Sciences, Vol. 5, Issue 3 · 30 Sep 2009 · 7,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Peak Load Electricity Demand Using Statistics and Rule Based ApproachZ. Ismail, A. Yahya, K. A. MahpolProblem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development. It is a prerequisite to power system expansion planning as the world of electricity is dominated by substantial lead times between decision making and its implementation. The importance of demand forecasting needs to be emphasized at all level as … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Probabilistic Motif Discovery in Unaligned Biological SequencesM. Hemalatha, K. VivekanandanFinding motif in biosequences is the most important primitive operation in computational biology. There are many computational requirements for a motif discovery algorithm such as computer memory space requirement and computational complexity. To overcome the complexity of motif discovery, we propose an alternative solution integrating genetic algorithm and Fuzzy Art machine learning approaches for eliminating multiple sequence alignment process. Problem … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,730 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemantic Refinement of Multi-meaning Words by T-normsF. Sadeghi, H. Khosravi, E. EslamiIn this paper we consider a multi-meaning word which appears in a sentence together with some connected words. To refine the meaning of this multi-meaning word, we propose a method based on T-norms which are reasonable mathematical models of logical conjunction operator in fuzzy logic. The preliminary results derived from a prepared corpus are encouraging. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,418 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFeasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, NigeriaNajashi B. Gafai, Asia'u Talatu BelgoreThe extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar … …Energy Research Journal, Vol. 13, Issue 1 · 21 Jul 2022 · 10,037 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDesign Maximum Power Point Tracking (MPPT) on Photovoltaic Panels using Fuzzy Logic MethodAhmad Faizal, Sutoyo, Mulyono et al.Solar energy is a clean energy, renewable, and available for the long term. The tool used to convert the energy generated from the intensity of sunlight into electricity is photovoltaic panels. However, due to the high cost and low efficiency, the use of the energy is still kind small compared to other types of energy sources. Thus, the need for … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 10 Aug 2016 · 8,503 accessesView PDFCite