the Genetic Fuzzy Model
A Genetic Fuzzy Model for Investigating Security and Trust in E Commerce with Genetic Algorithm
... e-commerce, fuzzy-genetic, attacks INTRODUCTION Nowadays, due to the spread of internet science and information technology, we can do most of our day-to-day business through the internet such as daily ...
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Fuzzy-Genetic Model for the Identification of Falls Risk Gait
... In Section 2.2, above, all the attributes in the input data space are taken into consideration in the process of fuzzy rules generation. However, not all input features necessarily have significant influence on ...
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Developing a Genetic Fuzzy System Model for Cost-Benefit Analysis.
... Cost benefit analysis is a systematic approach for calculation and analyzing the cost of a project. Soft computing approaches are also applicable to deal with cost benefit analysis. In this paper Mamdani fuzzy ...
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A fuzzy cooperative genetic algorithm for fuzzy modeling
... the fuzzy parameter that needs to be identified is the fuzzy model which refers to a collection of fuzzy rules and fuzzy ...the fuzzy model is identified, several factors ...
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Research on Prediction Model of Time Series Based on Fuzzy Theory and Genetic Algorithm
... o genetic algorithms for the purpose of enhancing the ...the fuzzy theory and genetic algorithms(FGA) as a method of ...forecasting model based on fuzzy theory and genetic ...
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Model of genetic fuzzy artmap classifier (GFAM) for gastric cancer data classification
... a model for gastric cancer data classification with rule extraction has been ...resulting model is merged with a GA-based rule extractor in the next stage to fabricate ...
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A Novel Stock Forecasting Model based on Fuzzy Time Series and Genetic Algorithm
... forecast model to help investors minimize risks and maximize returns are very practical and ...hybrid model FTSGA based on fuzzy time series and genetic algorithm is ...of genetic ...
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A Genetic Fuzzy System Based On Improved Fuzzy Functions
... on fuzzy rule bases (FRBs) have been successfully used to model real ...traditional fuzzy inference systems are that there is an abundance of fuzzy operations and operators that an expert ...
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Modelling trip distribution with fuzzy and genetic fuzzy systems
... The testing results of the models are more important than the training results. They represent the predictive ability of the models better, and give an idea of the generalizable performance of the trained models. ...
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Optimizing the Cost of Integrated Model for Fuzzy Failure Weibull Distribution Using Genetic Algorithm
... Consequently, it is necessary to check and solve the cause of failure. Generally, two methodologies; economic design and economic-statistical design, are used in designing control charts. The economic design was proposed ...
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A Genetic Algorithm based Fuzzy C Mean Clustering Model for Segmenting Microarray Images
... C. Selection, Crossover and Mutation Roulette wheel selection method is applied on the population where, each chromosome receives a number that is proportional to its fitness value. Crossover and Mutation are the two ...
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A HYBRID MODEL FOR BANKRUPTCY PREDICTION USING GENETIC ALGORITHM, FUZZY C-MEANS AND MARS
... hybrid model which is based on the sequential application of genetic algorithm, fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) ...ratio model commonly like ...
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A Higher Order Fuzzy Logic Model with Genetic Algorithm Used to Predict the Rice Production in India
... order Fuzzy logic are used to predict the simple and modified data set by using Gaussian ...in genetic algorithm and get accuracy of prediction is more accurate as compare to the proposed fuzzy ...
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The estimation of electric power losses in electrical networks by fuzzy regression model using genetic algorithm
... Then genetic algorithms perform the mechanisms of crossover and mutation as genetic operators to recom- bine the genetic ...The genetic algorithms are iterative and the process is terminated ...
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Fuzzy Distributed Genetic Approaches for Image Segmentation
... master-slave model, the MAS is com- posed of a set of segmentation agents ( slaves ) connected to a coordinator agent ( master ) ...a fuzzy set of images from the observed image us- ing K − means and a ...
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Adjust genetic algorithm parameter by fuzzy system
... Abstract Genetic algorithm is one of the random searches algorithm. Genetic algorithm is a method that uses genetic evolution as a model of problem ...solving. Genetic algorithm for ...
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A genetic-fuzzy system modeling of trip distribution
... a fuzzy and a genetic fuzzy system to estimate intra-city passenger flows, thus, to contribute to the literature representing their potential use in trip distribution ...and fuzzy partitions ...
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FUZZY NON LINEAR OPTIMIZATION MODEL FOR PRODUCTION LINE BALANCING OF JADHAV INDUSTRIES USING GENETIC ALGORITHM
... Education and Research Kolhapur, India Abstract: In a manufacturing industry production line balancing poses a significant challenge owing to the trade-off between machine idle time and Work-In-Process accumulation ...
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DNA Multiple Sequence Alignment by a Hidden Markov Model and Fuzzy Levenshtein Distance based Genetic Algorithm
... Kolkata-700009, West Bengal, India ABSTRACT In the last decade, biologists have experienced a fundamental shift away from the traditional empirical research to large- scale, computer-based research. Today bio-informatics ...
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Applying the structural equation model rule based fuzzy system with genetic algorithm for trading in currency market
... Keywords: Knowledge-based Systems, Fuzzy Sets, Structural Equation Model (SEM), Genetic Algorithm (GA), Currency Volatility 1. Introduction With the onset of financial liberalization, ...
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