Fuzzy modelling
Fuzzy Modelling of Voltage Standing Wave Ratio using Fuzzy Regression Method
... This modelling is based on TSK method in which consequence part in the form of linear equation of the form: Y= ...For modelling Adaptive Neuro-Fuzzy Inference System (ANFIS) tool from MATLAB is being ...
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Fuzzy Modelling On Sliding Wear Characteristics of Magnesium
... For fuzzy modeling, the numeric values are replaced with linguistic ...After modelling the rules as shown in figure 7 the model is used for prediction in the ...
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FUZZY MODELLING OF LIQUID DESICCANT BASED AIR DEHUMIDIFICATION SYSTEM
... MISO fuzzy model for liquid desiccant based air dehumidification ...of fuzzy model has very nice features. The advantage of this fuzzy model is that we can take a parametric form for highly non- ...
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Fuzzy Modelling for Qatar Knowledge Based Economy and Its Characteristics
... Another essential pillar for the knowledge-economy development represents the ICT which is believed to have the significant power to enhance the quality and cost-efficiency of the existing production, generate new ...
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Fuzzy modelling and robust control with applications to robotic manipulators
... In the following chapters of this thesis, several new and improved robust variable structure control schemes of nonlinear systems will be proposed by combining conventional methods and r[r] ...
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NEURO-FUZZY MODELLING OF BLENDING PROCESS IN CEMENT PLANT
... of fuzzy inference systems, neural networks, chaos theory and genetic algorithms ...neuro- fuzzy system is a fuzzy inference system framed in a network structure, and reinforced with neural network ...
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Sensory evaluation of aromatic foods packed in developed starch based films using fuzzy logic
... the fuzzy modelling of sensory evaluation were: (i) calculation of triplets (a set of three numbers) for a) sensory score of particular quality attributes of samples ...standard fuzzy scale, (iii) ...
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Fuzzy and process modelling of contour ridge water dynamics
... the fuzzy modelling. Fuzzy modelling typi- cally follows the IF-(antecedent part)–THEN-(consequence part) approach which is controlled by an inference system developed through the Mamdani or ...
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Robust Control Examples Applied to a Wind Turbine Simulated Model
... a fuzzy identification approach to the control design is ...inputs, fuzzy modelling represents an alternative tool for obtaining the mathematical description of the controlled ...[4], fuzzy ...
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Rule Weight Base Behavioural Modeling of Steam Turbine Using Genetically Tuned Adaptive Network Based Fuzzy Inference System
... conventional fuzzy reasoning process that permits tuning of the system to be developed at the rule level [Rafael et ...Conventional fuzzy reasoning process increase the accuracy of the learned model as good ...
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Overview of the Artificial Neural Networks and Fuzzy Logic Applications in Operational Hydrological Forecasting Systems
... traditional modelling approaches, based on mirroring natural processes with physically based equations very ...complementary modelling approaches, artificial neural networks and fuzzy logic systems, ...
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A Novel Type-2 Adaptive Neuro Fuzzy Inference System Classifier for Modelling Uncertainty in Prediction of Air Pollution Disaster (RESEARCH NOTE)
... Type-2 fuzzy set theory is one of the most powerful tools for dealing with the uncertainty and imperfection in dynamic and complex ...type-2 fuzzy sets and soft computing methods are rapidly emerging in the ...
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A new approach on solving Intuitionistic fuzzy linear programming problem
... intuitionistic fuzzy set and intuitionistic fuzzy numbers needed for consequent ...of modelling of an intuitionistic fuzzy optimization problem and its solution ...
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Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining
... [12] G. Castellano, A. M. Fanelli, M. A. Torsello, Mining usage profiles from access data using fuzzy clustering, 6th WSEAS International Conference on Simulation, Modelling and Optimization, Lisbon, ...
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MODELLING THE PEDESTRIAN CROSSING SPEED USING FUZZY LOGIC
... Despite all the measures taken, highway traffic accidents have an ever increasing trend in Turkey. In 2017, 1.202.726 traffic accidents occurred in Turkey, resulting in 7.427 deaths and 300.383 injuries. The pedestrian ...
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Novel Fuzzy Based Modeling and Control of Direct Control Variable Speed Wind Turbine with Interior Permanent Magnet Synchronous Generator
... of modelling and control of Fuzzy Based interior permanent magnet synchronous generator based grid connected variable speed wind turbine is ...based fuzzy controller can operate under varying wind ...
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Anti Phishing Framework on Visual Cryptography
... several temporary passwords. The fixed password can only be used in bound PCs, that is, we must bind the fixed password on several known PC. Users can login on any PC with a temporary password. However, we need to access ...
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Conceptual of Type 2 Fuzzy Geometric Modelling
... Geometric modelling is a method of data representation illustrated through the formation of curves and surfaces in various ...Type-1 Fuzzy Set Theory (T1FST) is unable to define this complex uncertainty ...
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δ-equality of intuitionistic fuzzy sets: a new proximity measure and applications in medical diagnosis
... of fuzzy sets was long recognized as the traditional ...itionistic fuzzy sets ...intuitionistic fuzzy sets. The idea is using δ- equalities for intuitionistic fuzzy relations to find groups of ...
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Modeling and Simulation of IM Drive Performance Using PI, ANN and FLC
... To test the model, the induction machine is simulated by applying 220 V three-phase ac voltages at 60 Hz with just an inertia load. To analyze the performance of induction motor using PI, Fuzzy Logic and NN are ...
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