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52 results for “TS fuzzy models”
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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 · 9,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractPattern Trees for Fault-Proneness Detection in Object-Oriented SoftwareRomana Ishrat, Rafat Parveen, Syed I. AhsonProblem statement: This study introduced an application of pattern tree based classification technique in the area of object-oriented software quality estimation. This application explored the fault prediction accuracy of pattern trees. Approach: Similarity measures and fuzzy aggregations employed in the pattern tree technique had been used to generate tree models for fault detection in software modules. Experiments had been performed … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 6,953 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 · 7,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Engineering Method for Fuzzy Reliability Analysis of Surge Control in Centrifugal CompressorAhmed Hafaifa, Ferhat Laaouad, Moulod GuemanaProblem statement: The surge phenomenon in the centrifugal compressor, the non-linearities and uncertainties of the compression system make it impossible to use a conventional controller over a wide range of operation. Approach: A new dual fuzzy controller for nonlinear model of compression system was proposed in this study. This fuzzy controller was designed that consisted of active surge control and … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 8,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Determination of Optimal Crop Pattern with Aim of Reduction in Hazards of EnvironmentalMahmoud Daneshvar Kakhki, Nasser Sahnoushi, F. Salehi Reza AbadiProblem statement: The purpose of the study was to find the optimal cropping pattern, in Taybad, which maximizes the net return per water cubic meter and per fertilizer kilogram. Approach: A linear programming model and a fuzzy multi-objective fractional programming model were applied and then these models were compared. Results: Result of study showed ratio of net return into consumption … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 4 · 31 Dec 2009 · 8,285 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Accuracy of Effort Estimation through Fuzzy Set Representation of SizeCh. Satyananda Reddy, KVSVN RajuProblem statement: The precision and reliability of the effort estimation is very important for the competitiveness of software companies. The uncertainty at the input level of the Constructive Cost Model (COCOMO) yields uncertainty at the output, which leads to gross estimation error in the effort estimation. Fuzzy logic-based cost estimation models are more appropriate when vague and imprecise information was … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,092 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Typical Case Study: Solid Waste Management in Petroleum RefineriesJadea S. Alshammari, Fatma K. Gad, Ahmed A.M. Elgibaly, Abdul Rehman KhanThe current environmental concerns have forced developed and developing countries to reduce air, water and land pollution for sustainable growth. Solid refinery waste is cocktail of hydrocarbons, water, heavy metal and fine solids and is substantial in quantity. The principal processes of waste management focus mainly on waste source reduction, reusing, recycling, composting, incineration with or without energy recovery, fuel … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 9,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolid Waste Management in Petroleum RefineriesJadea S. Alshammari, Fatma K. Gad, Ahmed A.M. Elgibaly, Abdul Rehman KhanWaste management became focus of attention of many researchers and scientists in the last half century due to its vital importance. Waste management covered waste source reduction in general, by recycling, reusing, composting, incineration with or without energy recovery, fuel production and land filling. A common approach of waste management models were for specific problems with a limited scope (like … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 6,945 accessesView PDFCite
Research ArticleOpen accessIn the abstractMemory Convergence and Optimization with Fuzzy PSO and ACSSubhash C. Pandey, Dr. P. MisraAssociative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this study, we introduce fuzzy swarm particle optimization technique for convergence of associative neural memories based on fuzzy set theory. A Fuzzy … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractQualitative Ferromagnetic Hysteresis ModelingM. Mordjaoui, M. Chabane, B. Boudjema, R. DairaIn determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,080 accessesView PDFCite