fuzzy rules-based model
Intrusion Detection System using Genetic-Fuzzy Classification
... traffic. Fuzzy systems have been used to solve several classification ...of fuzzy systems with the learning capability of evolutionary ...interpretable fuzzy IF-THEN rules from network dataset ...
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An Improved Adaptive Time-Variant Model for Fuzzy-Time-Series Forecasting Enrollments based on Particle Swarm Optimization
... time-variant model (ATVF) [12] with pso algorithm [19], [20] to improve Alabama University enrollments forecasting in this ...ATVF model automatically adapts the analysis window size of fuzzy time ...
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Applying the structural equation model rule based fuzzy system with genetic algorithm for trading in currency market
... non-linear fuzzy model, the fuzzy genetic algorithm (FGA) was employed to fit the fuzzy ...in fuzzy memberships, as well as the fuzzy rules (Karr, 1991, 1993; Chan et ...
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EXTENSION OF MODEL FOLLOWING TECHNIQUES TO SLIDING MODE FUZZY CONTROL FOR NON LINEAR SYSTEMS
... algorithm based on model following technique has been presented for a Fuzzy sliding mode ...of fuzzy controller based on time domain specifications and the response of the fuzzy ...
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DESIGN, ANALYSIS AND OPTIMIZATION OF A MICROSTRIP PATCH ANTENNA AT FREQUENCY 3 55 GHZ FOR WIMAX APPLICATION
... presented Fuzzy reasoning algorithm supported by Fuzzy Petri ...Nets(FPN).The model can be successfully used for exhibiting the Fuzzy production rules in a knowledge based ...
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Development of an automobile robot system model based on soft computing in an unsteady environment
... simulation model of controller for an automobile robot as part of a convoy, based on soft ...control model was developed, the rules of constructing the fuzzy rule base were described, ...
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Vol 8, No 8 (2018)
... of fuzzy time series model based on the proposed forecasted rules to forecast rice production and then combines with the particle swam optimization algorithm to find the effective lengths of ...
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Application Fuzzy Decision Tree Analysis for Prediction Condensate Gas Ratio: Case Study
... intelligent model was proposed and the purpose of this paper is to illustrate how Fuzzy Decision Tree (FDT), which is an automatic method of generating fuzzy rules, can predict the condensate ...
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A quantifier based fuzzy classification system for breast cancer patients
... if-then rules, a mechanism of reasoning in human understandable terms, the capacity of taking linguistic information from human experts and combining it with numerical information, and the ability of approximating ...
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Modeling of Stripper Temperature based on Improved T-S Fuzzy Neural Network
... method based on improved T-S fuzzy neural network, and proposes new nearest neighbor clustering fuzzy ...algorithm based on T-S fuzzy neural networks is ...
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Model of Strategic Determination of Tool Distribution Based on the Fuzzy Rules
... the model of tool supply to machines by tool ...The model is verified on a practical example [8]; it is made in the EXCEL program language so that the correctness of the simulation can be clearly ...
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Intelligent Traffic Monitoring System
... the fuzzy controller of a 4-phase traffic ...Moreover, fuzzy logic control system provides better performance in terms of efficiency by reducing the waiting delay time of vehicles on traffic ...using ...
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Generation of Fuzzy Rules Based on Complex-valued Neuro-Fuzzy Learning Algorithm
... tune fuzzy rules, Neuro-Fuzzy learning algorithms with Gaussian type membership functions based on gradient-descent method are well ...a fuzzy system ...
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Seasonal Short-Term Electricity Demand Forecasting under Tropical Condition using Fuzzy Approach Model
... present fuzzy sets for inputs and output of the dry season and rainy season models, ...applied rules, 54 fuzzy rules for dry season (DS) model and 72 fuzzy rules for rainy ...
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A Hybrid Fuzzy Multi-criteria Decision Making Model Based on Fuzzy DEMATEL with Fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices
... Supply Chain Management (SCM) utilizes some special methods for the planning of manufacturing and distribution activities in various decision making levels in order to have flow of materials, money and information in an ...
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An Enriched Frame Work for Auto Answering System for SMS using Fuzzy Classification
... tf-idf based approach and proposed a supervised term weighting scheme, which directly makes use of a kind of information ratio to judge a term’s contribution for a ...
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Hybrid Fuzzy Logic Controller for Improving Voltage Stability of Grid Connected SCIG Wind Turbine
... language rules. The fuzzy systems convert these rules to their mathematical ...accurate. Fuzzy logic includes 0 and 1 as extreme cases of truth but also includes the various states of ...
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A Recommender System for Web Mining using Neural Network and Fuzzy Algorithm
... Based on mixture of web content mining and web usage mining, Rashidi et al [13] has recommended an experimental system which clusters users movement algorithms by using Kmeans algorithms. In this article, first, ...
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Study of Existing Work on Soft Computing Methodologies and Fusion of Neural Network and Fuzzy Logic for Estimation and Approximation
... 1940s based on the observation that human brain consist of numerous interconnected neurons encapsulating the most rare thing in this world - human ...not based on numerical ...ANN based on human ...
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Studies on evaluation of rural sports based on fuzzy comprehensive evaluation method
... the fuzzy comprehensive evaluation method can be applied in it. The fuzzy comprehensive evaluation method has been applied in engineering, economic management and social life ...the fuzzy ...
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