fuzzy logic based models
Rainfall Runoff Relationship using Neural Networks and Fuzzy Logic
... and Fuzzy logic based approaches has been illustrated to develop rainfall- runoff model in Osmansagar ...the models during both Training/Calibration , Testing/Validation ...the models ...
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The Prediction of Needle Penetration Force in Woven Denim Fabrics Using Soft Computing Models
... fabrics based on sewing parameters by using the fuzzy logic (FL) ...of fuzzy logic model is compared with that of the artificial neural network (ANN) ...the fuzzy logic ...
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Fuzzy Expert Systems (FES) for Medical Diagnosis
... of fuzzy set theory and its derived theories for developing knowledge based systems and fuzzy sets to model the medical concepts ...of fuzzy logic theory in designing disease specific ...
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Secure MQTT: an efficient fuzzy logic based approach to detect DoS attack in MQTT protocol for internet of things
... learning models such as artificial neural networks, genetic algorithm, and fuzzy logic which are applied for detecting the anomaly in the IoT ...the fuzzy logic model, which helps to ...
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Analysis of Process Models: A Fuzzy Logic Approach
... material is selected. Once the material is selected, the film can be manufactured, for example, either by using the conventional thin-film technology, i.e. using activities 1, 2, 4, 8 in Fig. 1, or by ...
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Analyzing Effort Estimation in Multistage based FL COCOMO II Framework using various Fuzzy Membership Functions
... is based on measuring of software attributes which are typically related to the product, the process and the resources of software development ...quantitative models of software cost estimation have been ...
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A Fuzzy Logic Based Trading System
... available models is considered to be essential for this purpose. Fuzzy systems could be used for developing decision models in which the experience of a trader can be incorporated in a natural ...
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SIGNIFICANT PREPROCESSING METHOD IN EEG BASED EMOTIONS CLASSIFICATION
... allow fuzzy conditions to detect cyberattacks targeting multiple resources of information ...of fuzzy (linguistic) ...is based on mathematical models and methods of fuzzy logic ...
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Time series forecasting with interval type 2 intuitionistic fuzzy logic systems
... evolving fuzzy optimally pruned extreme learning machine (eF-OP-ELM), was reported for analysing this time ...for fuzzy systems based on online sequential ELM (OS-fuzzy-ELM) were also reported ...
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A Prediction System Based on Fuzzy Logic
... AI based prediction models can be classified into four groups: models based on neural networks, fuzzy logic, genetic algorithm and expert ...reasoning, fuzzy logic ...
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To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction
... These models too have difficulty in modeling the inherent complex relationships between the contributing factors, are unable to handle categorical data as well as lack of reasoning ...these models led to ...
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Volume 64: Programming and Computer Languages 2013
... propositional fuzzy formulae containing sev- eral propositional symbols linked with connectives defined in a lattice of truth de- grees more complex than ...Theories) based method for automatically proving ...
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AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE
... a fuzzy model for QoWS monitoring due to uncertain nature of web service ...However, fuzzy models are computationally ...Sugeno-based fuzzy inference systems (FIS) when they are applied ...
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Online Full Text
... scales. Even so, in spite of the requests of those surveyed, all systems m ust b e lim ited to c ertain norms whether determined b y the er gonomics ex pert o r b y t he l aws o r regulations of a country. T he s urvey w ...
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A Novel Fuzzy Based DC–DC Boost Converter with Balanced Output & High Voltage Gain
... A fuzzy based step up converter with high voltage gain is proposed in this paper. The proposed novel topology of the boost converter can provide almost threefold output voltage. In order to guarantee small ...
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MATHEMATICAL MODELS IN TERMS OF FUZZY DIRECTED GRAPHS WITH FUZZY IF-THEN CHAIN SET LOGIC
... Mathematical models can take many forms, including but not limited to dynamical sytems, statistical models, differential equations or game theoratic ...of models can overlap, with a given model ...
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Effective Personalization of web search based on Fuzzy Information Retrieval
... The average precision is improved in each of the selected domains using personalized web search with ranked documents(with fuzzy IR). The obtained results were analyzed using the statistical paired t-test for ...
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Fuzzy Logic Based CSTR Control
... like fuzzy logic controller which generate fast dynamic ...controller’s fuzzy logic controllers are better in complex problem ...A fuzzy logic controller mainly consist of three ...
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Fuzzy Logic based Stock Value Prediction using Fundamental Analysis
... processing, fuzzy logic mapping and stock value calculation. Fuzzy logic is used to map the quality as well as quantity valuation ...The fuzzy model outcomes the stock value which is ...
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An approach to represent time series forecasting via fuzzy numbers
... the models become unreliable in the presence of uncertainty and (ii) no indication of accuracy of point forecasts is ...are based on estimates of the distribution ...
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