input-variables membership functions
Implementation of an interpretable inverse fuzzy control on microcontroller (DC motor case study)
... The fuzzy identification algorithm employed in this work uses triangular membership function with 0.5 interpolations for antecedent partition avoiding the presence of complex overlapping that happens in other ...
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Design And Realization Of Fuzzy Logic Control For Ebb And Flow Hydroponic System
... Condition input variable also contains four membership functions, ...four membership functions, ...the input variables (IV) and output variables (OV) and their ...
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A Proposed Grinding and Mixing System using Fuzzy Time Control Discrete Event Model for Industrial Applications
... fuzzy input variables to the ...each input variable for inference kernel connected with knowledge ...output membership functions; for output variables strength and output time ...
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Online Full Text
... the membership functions referenced by the antecedent, or the if-part of each ...the membership functions referenced by the consequent, or the then-part of each ...the input values for ...
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Maritime Weather Prediction using Fuzzy Logic in Ternate Waters North Maluku
... Abstract Ternate waters of North Maluku is one of Indonesian eastern waters whose maritime weather is often unpredictable. Weathers prediction is important to avoid accidents in the waters. The aim of this research is ...
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Implementation Of Fuzzy Controller For Diagonse Of Patient Heart Disease
... Fuzzy Expert System for Heart Disease Diagnosis designed with follow membership functions, input variables, output variables and rule base. Designed system has been tested with ...
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Recognition and Cure Time Prediction of Swine Flu, Dengue and Chicken Pox using Fuzzy Logic
... following membership functions, input variables, output variables and rule base that are used in a fuzzy expert system to diagnose the heart ...six input variables and ...
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Fuzzy Logic Inference Applications in Road Traffic and Parking Space Management
... of membership functions and changing input and output variables etc, the work here is limited within changes at input and output variables and bases of universe of ...
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Urban Market Fire Disasters Management in Nigeria: A Damage Minimization based Fuzzy Logic Model Approach
... Table 1: Linguistic Variables Term set and Membership functions Linguistic Term sets Membership Variables Abbreviation function Attributes Input 1 Safety Poor Trapezoidal Culture Fair Pi[r] ...
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An Expert System for Home Health Monitoring: The ANFIS Approach
... the input to the ANFIS function must be in a matrix form, where the last column in the matrix is the output, and the matrix contains as many columns as needed to represent the inputs to the ...initial ...
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Using a Fuzzy Logic Based Emotional Intelligence Framework for Testing Satisfaction of Faculty in an Outcomes Based Educational System
... of membership function for each rule is the fuzzy set assigned to that output by using the degree of the membership functions of the associated input fuzzy sub ...the membership degree ...
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Speed Control of Smart Car using Fuzzy Logic Controller
... state variables and one control variable for accomplishing speed control of the Smart ...an input stage, a processing stage, and an output stage. The input stage maps sensor or other inputs, such as ...
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Development of an Expert System on Failures of Hydraulic Cylinder using Fuzzy Logic
... triangular membership functions were used for the input process parameters such as operating pressure, flow rate and operating temperature to predict output of the hydraulic cylinder ...The ...
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Fuzzy Goal Programming Procedure to Bilevel Multiobjective Linear Fractional Programming Problems
... the membership functions for the defined fuzzy goals of the decision makers DMs objective functions at both levels as well as the membership functions for vector of fuzzy goals of the ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... of membership functions of inputs and input data (performance - p, resistance to time analysis - r and permissible consumption of memory - m), area of the output membership functions ...
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An SVM-Fuzzy Expert System Design For Diabetes Risk Classification
... For diabetes risk classification, the machine learning algorithms like Artificial Neural Network [14], Bayesian Network [15] was applied in the recent years. The drawbacks with these machine learning algorithms is their ...
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Exercise Bike Model using Fuzzy Logic
... linguistic variables such as Low, Medium and High and then fuzzy rules are applied on the data ...The membership function input speed, distance and gear has 3 fuzzy ranges and output has 6 fuzzy ...
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A Fuzzy Logic based Handwritten Numeral Recognition System
... the input variable vector [13 –13 00 –00 12 14], where (13) refer that the input variable T1 is 13 (T1 = 13), (-13) refer that the input variable T2 is –13 (T2 = -13), (00) refer that the ...
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Designing and simulating of soft computing method oriented on fuzzy logic systems
... The idea of Fuzzy Logic (FL) was brought about by Lotfi Zadeh, (Zadeh, 1965) an professor at the University of California at Berkley, and displayed not as a control technique, but rather as a method for allowing to ...
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Fuzzy membership functions in privacy preserving data mining
... logic membership functions are used to anonymizing the selective data of the database for maintaining privacy of the sensitive ...process. Membership function (MF) is curve that defines how each ...
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