fuzzy model-based method
Applying Fuzzy Rule Based System on FMEA to Assess the Risks on Project Based Software Engineering Education
... the fuzzy FMEA model also has problems related to the fuzzy rule-based and membership ...a method of alleviating this problem by improving the traditional fuzzy FMEA approach for ...
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Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method
... detection based on fuzzy clustering and stack- ing combination ...method. Fuzzy clustering module divides the whole dataset into several homogeneous ...tion method and a stacking ...
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Online Full Text
... random fuzzy mean-variance portfolio selection problem using a fuzzy reasoning method, particularly a single input type fuzzy reasoning ...Pricing Model is introduced as a future return ...
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A risk evaluation model for channel navigation based on the gray fuzzy theory
... evaluation model of the channel navigation is established with the set-valued statistics and the gray ...the model utilizing the set-valued statistics; also, the evaluation sample matrix is determined to ...
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Robust Design for MEMS Sensors Based on the Fuzzy Model
... In this paper, the robust design method based on fuzzy model is effectively used in the design of the MEMS capacitive pressure sensor. Not only the tolerance problem of design variable is ...
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Fuzzy Regression Model and Its Application: A Review
... construct fuzzy regression models. They had compared a fuzzy regression model and used the least absolute deviation estimators and another fuzzy regression model used the least square ...
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A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents
... I N recent years, rapid development in internet technology generated massive amount of text documents by private and public sectors. To handle such a huge amount of text documents, automatic text categorization has ...
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An intrusion detection method for internet of things based on suppressed fuzzy clustering
... detection method for IoT was proposed based on suppressed fuzzy clustering (SFC) algorithm [17, 18] and principal compo- nent analysis (PCA) algorithm [19, ...proposed method. Section 2 ...
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A Forecasting Model Based On K-means Clustering And Time-invariant Fuzzy Relationship Groups
... forecasting method (named FRGs-KM) in the first-order fuzzy time series model based on the time-invariant fuzzy logical relationship groups and K-means clustering ...this method, ...
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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
... proper method in the prioritization of the LARG paradigms and practices as well as explanation of their ...using fuzzy set theory, it aims to provide a quantitative basis via a hybrid fuzzy ...
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Development of Genetically tuned Fuzzy dynamic model for nonlinear dynamical systems: Application on reaction section of Tennessee Eastman process
... GA-fuzzy method to model dynamic behavior of a process, based on recurrent fuzzy modeling through Mamdani approach, whose inference system is optimized by genetic ...proposed ...
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Studies on evaluation of rural sports based on fuzzy comprehensive evaluation method
... of fuzzy comprehensive evaluation method is applied in ...the fuzzy comprehensive evaluation model based on genetic algorithm is studied, and the weight of index is confirmed by genetic ...
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... decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway ...the method have ...
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Network Security Evaluation Based on Variable Weight Fuzzy Cloud Model
... assessment, fuzzy comprehensive evaluation method is used to evaluate ...cloud model to construct the membership function expresses fuzzy and stochastic characterization of the evaluation ...
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Optimization of Fuzzy Random Portfolio selection by Implementation of Harmony Search Algorithm
... employ fuzzy random theory [3] to deal with this uncertainty of fuzziness and ...A Fuzzy random variable was ο¬rst introduced by Kwakernaak [4], and its mathematical basis was constructed by Puri and Ralescu ...
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A Fuzzy Sequential Pattern Mining Algorithm Based on Independent Pruning Strategy for Parameters Optimization of Ball Mill Pulverizing System
... hill-climbing method, PSO and GA need a fitness ...hill-climbing method, PSO and GA expediently, the model of ππ on π , ππ‘ and ππ , which is named as ππ(π, ππ‘, ππ) , would be built and used as the ...
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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems
... a method for tuning of the weight coefficients. The method is Model Predictive Control based on Fuzzy Logic, Genetic Algorithms or B&B, and Adaptive Control ...technique ...
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The Application of Imperialist Competitive Algorithm for Fuzzy Random Portfolio Selection Problem
... the fuzzy random portfolio selection problem where the asset returns are represented by fuzzy random ...necessity-based model, fuzzy random variables reformulate to the linear ...
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Statistical Analysis of Fuzzy Linear Regression Model Based on Centroid Method
... transforms fuzzy number into clear number using the centroid method, thus we can research the traditional linear regression model which is transformed from the fuzzy linear re- gression ...are ...
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Using Attribute-based Feature Selection Approaches and Machine Learning Algorithms for Detecting Fraudulent Website URLs
... detection method based on supervised machine learning which uses a fuzzy logic model with basic data mining associative classification algorithms to handle the phishing data features and ...
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