Mamdani type
Optimization of Governance Factors for Smart City Through Hierarchical Mamdani Type-1 Fuzzy Expert System Empowered with Intelligent Data Ingestion Techniques
... A Smart City is an urban area that uses the Internet of things (IoT) sensors to collect data and information to enhance the operational aptitude, in a way to manage assets and resources efficiently. Smart governance is a ...
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Weighted Mamdani-type Fuzzy Inference System Based on Relative Ideal Preference System
... The common set up in the Mamdani-type FIS is that the weights of fuzzy rules in are assumed and set to be equal (usually 1). However, in some circumstances, this setup is not appropriate to be used since ...
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An Adaptive Fuzzy Logic Controller Trained by Particle Swarm Optimization for Line of Sight Stabilization
... This paper presents the results of a Mamdani type fuzzy logic based controller trained using PSO for a real time defense systems. The proposed fuzzy logic based controller eliminates the hit and trial ...
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MATLAB Simulation for Mobile Robot Navigation with Hurdles in Cluttered Environment Using Minimum Rule based Fuzzy Logic Controller
... In this paper concentrated on the design of a minimum rule based fuzzy-logic controller for robot navigation, and hurdles avoidance in cluttered environment, based on the Mamdani type fuzzy method. The ...
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Development of Genetically tuned Fuzzy dynamic model for nonlinear dynamical systems: Application on reaction section of Tennessee Eastman process
... of Mamdani-type models preserving good interpretability, which has found wide applicability in the fuzzy logic research community, can be handled using the existing op- timization algorithms ...of ...
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Multi Model Criteria for the Estimation of Road Traffic Congestion from Traffic Flow Information Based on Fuzzy Logic
... Sugeno, Mamdani models which are manually tuned techniques, and an Adaptive Neuo-Fuzzy Inference System (ANFIS) which an automated model decides the ranges and parameters of the membership functions using grid ...
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Implementation Fuzzy Irrigation Controller (Mamdani and Sugeno Performance Comparison)
... Results obtained shows that the Sugeno-type fuzzy inference based controller has a smooth operational inference based controller. Also, the Sugeno-type fuzzy inference system based controller with five ...
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A Comparison between Fuzzy Inference Systems for Prediction (with Application to Prices of Fund in Egypt)
... the Mamdani fuzzy ...of Mamdani gbellmf, trying to find the best one for ...of Mamdani-type FIS is shown in Table ...and Mamdani gbellmf values is shown in ...
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Nature-Inspired Multi-Objective Optimisation and Transparent Knowledge Discovery via Hierarchical Fuzzy Modelling
... A Mamdani-type fuzzy system [Mamdani & Assilian 1975] is the first type of fuzzy systems, which is based on Zadeh's theories in human-machine interaction [Zadeh ...the ...
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Improved Methods of Direct Torque Control of Induction Machine for Reduced Torque Ripple by Using Fuzzy Logic Controller
... project, Mamdani type FLC is used and the DTC of IMD using PI controller based SR(speed regulator) are requires the precise mathematical model of the system and appropriate gain values of PI controller to ...
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SYSTEM IDENTIFICATION AND CONTROL OF MAGNETIC BEARING SYSTEMS
... This chapter started with the structure of a basic FLC. Two different fuzzy inference methods, the Mamdani and Sugeno methods, have been reviewed. The process of developing and designing the FLC for the ...
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Microcontroller Based Robotic Arm Movement ControlRajdeep Kaur, Shivani Arora Abrol
... (control MAMDANI model) which works on the fuzzy based decision capability module and provide better decision model for the movement of the robotic arm in terms of action taking ...
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PERFORMANCE APPRAISAL USING BASIC T- NORMS BY SOFTWARE FUZZY ALGORITHM
... the Mamdani model which is one of the most common fuzzy inference ...a Mamdani rule base to model crisp system behaviour is that the rules for many systems can be easily described by humans in terms of ...
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Enhancing Performance of Fuzzy controlled based New Hybrid Unified Power Quality Conditioner (HUPQC)
... The dc-dc converter is a nonlinear function of the duty cycle because of the small signal model and its control method was applied to the control of boost converters. Fuzzy controllers do not require an exact ...
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Prediction Of Blood Sugar In People According To Such Inputs As Age, Simulation Level, Bmi, And Diet By Using Of Fuzzy Control And Adaptive Nero-Fuzzy Inference System(Anfis)
... In this paper, prediction of blood sugar in 51 participants according to inputs and by using fuzzy control (mamdani reasoning _sugeno fuzzy method) and Nero Fuzzy inference model (ANFIS) was made. According to ...
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A Comparison of Mamdani and Sugeno Fuzzy Inference Systems for Traffic Flow Prediction
... namely Mamdani [13] and Sugeno FISs [14] are widely accepted and applied to many real-world ...from Mamdani FISs can be easily transformed to linguistic form as the inference result before defuzzification ...
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Estimating Trust Value for Cloud Service Providers using Fuzzy Logic
... The evaluation of the trust value for CSP comprises of two stages as shown in Figure 3. The first stage is the implementation with the help of Mamdani Fuzzy Inference System [11]. It takes Performance, Financial ...
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A Model for Selecting an ERP System with Triangular Fuzzy Numbers and Mamdani Inference
... The type of model validation that takes place with this option is a checking for model over fitting, and the argument is a data set called the checking data ...
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MATHEMATICAL MODELS OF THREATS OF UNAUTHORIZED ACCESS TO SENSITIVE INFORMATION OF MOBILE NETWORK SUBSCRIBERS AND MEASURES TO PROTECT MOBILE SYSTEM
... Based on the results of research and discussion of expert system based diagnosis of Chronic Kidney Disease Mamdani Fuzzy Inference System, it can be concluded as follows. (1) Development of expert system diagnosis ...
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Fuzzy logic based modeling of CO2 laser cutting for stainless steel sheet
... Fuzzy inference system implemented in fuzzy logic toolbox of MATLAB version R2007b mamdani fuzzy expert system was used in this work [11]. Because of generally widely used algorithm, the input/output linguistics ...
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