fuzzy model
![[14] . The T-S fuzzy model consists of](data:image/gif;base64,R0lGODlhAQABAIAAAP///wAAACH5BAEAAAAALAAAAAABAAEAAAICRAEAOw==)
[14] . The T-S fuzzy model consists of
... (T-S) fuzzy model recently has attracted most attention ...T-S fuzzy model consists of IF-THEN rules with fuzzy antecedents and mathematical functions in the consequent ...The ...
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Mamdani Fuzzy Model for Learning Activities Evaluation
... which fuzzy model could suitably modelled learner activities in E- learning ...the fuzzy model were ...simulated model in MATLAB was measured using classifier uncertainty and confusion ...
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Incremental Hierarchical Fuzzy Model Generated from Multilevel Fuzzy Support Vector Regression Network
... hierarchical fuzzy system design, each single- level module serves as individual reasoning ...a fuzzy reasoning mechanism, Takagi-Sugeno-Kang (TSK) type is most widely ...ANFIS[21] model based on ...
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How to Decide the Best Fuzzy Model in ANFIS
... initial fuzzy model and tunes it by means of a hybrid technique combining gradient descent back-propagation and mean least-squares optimization algorithms (see ...
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A Fuzzy Model for Network Intrusion Detection
... dynamic fuzzy boundary from labeled data. In this work, a dynamic fuzzy boundary is proposed to detect anomaly ...and Fuzzy Logic. In [7] authors proposed hybrid model based on fuzzy ...
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Fuzzy Model Identification: A Firefly Optimization Approach
... a fuzzy model from numerical ...discusses fuzzy modeling for zero-order Takagi-Sugeno-Kang (TSK) type fuzzy ...a fuzzy control problem and another Iris data classification problem are ...
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Developing a Neuro Fuzzy Model for Weather Prediction
... filter model, moving average model, to thirty years of Alexandria ...a model to predict yearly, seasonally and some squalls sum of rainfall in Arish and Helwan during the period 1968 ...
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Weapon Target Allocation Problem Using Fuzzy Model
... Above generated Random numbers are used and iterative simulation has been carried out to generate probability distribution of data. It involves estimation of distribution of rounds fired, foot-print generation and target ...
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On the linear fuzzy model associated with Caputo–Fabrizio operator
... linear fuzzy differential equations and presented the general form of ...introduce fuzzy Caputo–Fabrizio fractional operator under the generalized Hukuhara differentiability ...linear fuzzy fractional ...
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Different initial conditions in fuzzy Tumor model
... a model of third degree consists of tu- mor cells, immune system cells and normal cells are used and method of solving fuzzy differential inclusion are expressed and all areas of response three-dimen- ...
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Statistics Model for Meteorological Forecasting Using Fuzzy Logic Model
... 2.3. Fuzzy Logic Modeling of Meteorological Forecasting A fuzzy logic model is also known as a fuzzy inference system or fuzzy ...developing fuzzy model as the ...into ...
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Fuzzy Estimation Analysis of Photovoltaic Model Parameters
... to describe the solar cell characteristics [2]-[8]. A Double-diode solar cell model is considered in this project with the same identity factor. A lumped parameter equivalent circuit with to model the solar ...
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The fuzzy logic in air pollution forecasting model
... sodar. Fuzzy set theory is useful in this situation ...known. Fuzzy theory is used when the Data transferred to the model is ambiguous or in- ...theory, fuzzy is ...
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Comparison Of Fuzzy Time Series And ARIMA Model
... a fuzzy set F on a universe of discourse U as µF(x):U→ [0,1]which is nothing but a mapping from the universe of discourse U into the unit interval [0,1] and µF(x) represent the scope to which x containing ...
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A Fuzzy TOPSIS Model to Rank Automotive Suppliers
... To overcome the effects of uncertainty and variation in the expert’s preference, a fuzzy set theory is integrated with the TOPSIS method. The qualitative aspects of the decisions are represented by means of ...
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A Fuzzy Decision Model for ERP Software Assessment
... 2000). Fuzzy set theory is developed for solving problems in which description of activities and observations are imprecise, vague and ...the fuzzy set theory into the traditional AHP, FAHP were becoming a ...
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Fuzzy Approaches for Multiobjective Fuzzy Random Linear Programming Problems Through a Probability Maximization Model
... of fuzzy approaches are proposed for not only multiobjective stochastic linear program- ming problems, but also multiobjective fuzzy random linear programming problems through a probability maximization ...
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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
... In this paper, a hybrid FMCDM approach based on FDANP and ISM for examining the situation of LARG SC practices in Iranian dairy industry has been suggested. The main data of the research were collected by field method ...
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A Model for the Development of Hospital Beds Using Fuzzy Analytical Hierarchy Process (Fuzzy AHP)
... A questionnaire was used in order to determine the degree of importance of factors affecting the ranking. In other words, the weights of factors were determined through designing a question- naire and performing pairwise ...
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A Fuzzy Linguistic RFM Model Applied to Campaign Management
... In the literature there are some proposals for integrated schemes for campaign management based on segmentation from the results of the RFM model. RFM is a technique used to analyze customer behavior by means of ...
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