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85 results for “Fuzzy set”
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Research ArticleOpen accessIn the abstractA Fuzzy Mathematical Programming Approach to DEA ModelsA. Azadeh, S.F. Ghaderi, Z. Javaheri, M. SaberiEvaluating the performance of activities or organizations by traditional Data Envelopment Analysis (DEA) as efficiency frontier analysis models requires crisp input/output data. However, in real-world problems inputs and outputs are often imprecise. This study develops DEA models using imprecise data represented by fuzzy sets. An important outcome of assessing relative efficiencies within a group of Decision Making Units (DMUs) in … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,232 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 abstractAn Empirical Validation of Object-Oriented Design Metrics for Fault PredictionJie Xu, Danny Ho, Luiz F. CapretzProblem Statement: Object-oriented design has become a dominant method in software industry and many design metrics of object-oriented programs have been proposed for quality prediction, but there is no well-accepted statement on how significant those metrics are. In this study, empirical analysis is carried out to validate object-oriented design metrics for defects estimation. Approach: The Chidamber and Kemerer metrics suite … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,992 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 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 abstractQuality Monitoring Using Principal Component Analysis and Fuzzy Logic Application in Continuous Casting ProcessSalah Bouhouche, Malek Lahreche, Abdelkrim Moussaoui, Jürgen BastThis paper deals with non linear system monitoring, based on a combined use of Principal Components Analysis (PCA) and fuzzy logic to process and quality monitoring. PCA coupled to fuzzy logic was used to estimate the fault or defect according to the dynamic changes in the process inputs-outputs characterized by T2 Hoteling and Squared Prediction Error (SPE). Correlation between the … …American Journal of Applied Sciences, Vol. 4, Issue 9 · 30 Sep 2007 · 7,245 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
Research ArticleOpen accessIn the abstractAn Evolution Strategy for the Induction of Fuzzy Finite-state AutomataMozhiwen, WanminThis study presents an evolution strategy used to infer fuzzy finite-state automata from examples of a fuzzy language. We describe the fitness function of an generated automata with respect to a set of examples of a fuzzy language, the representation of the transition of the automata as well as the output of the states in the evolution strategy and the … …Journal of Mathematics and Statistics, Vol. 2, Issue 2 · 30 Jun 2006 · 6,699 accessesView PDFCite
Research ArticleOpen accessIn the abstractQOS BASED SELECTION AND COMPOSITION OF WEB SERVICES-A FUZZY APPROACHN. Hema Priya, A. M. Shobana Priya, S. ChandramathiWeb Services are emerging technologies which satisfy users’ requests on the Web. Selecting appropriate services to suit the needs is a huge task. There are a huge number of service providers who offer same type of service, with differences in functional and non functional qualities. A few users may need multiple services at the same moment. So composition of services … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 6,606 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimum Setting of Controller Using Soft Computing Techniques for a Chemical SystemG. Glandevadhas, S. Pushpakumar, S.V. Muruga PrasadProblem statement: The aim of this study is to present an intelligent tuning technique for PID controller that are simple and still result in good closed loop behavior. The idea is to start with a tuned conventional PID controller, replace it with an equivalent intelligent controllers like Fuzzy, ANN, Genetic and PSO techniques implies fine tuned nonlinear PID controller which … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 6 Oct 2011 · 7,501 accessesView PDFCite