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sparse fuzzy rule base

Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

... Abstract. Fuzzy inference systems have been successfully applied to many real-world ...Traditional fuzzy inference systems are only applicable to problems with dense rule bases covering the entire ...

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Curvature-based sparse rule base generation for fuzzy rule

interpolation

Curvature-based sparse rule base generation for fuzzy rule interpolation

... based fuzzy rule interpolation" (intermediate-rule ...diate rule such that its antecedent is as “close" (given a fuzzy distance metric) to the given observation as possible ...

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TSK Inference with Sparse Rule Bases

TSK Inference with Sparse Rule Bases

... uses fuzzy logic and fuzzy set theory to map inputs to ...typical fuzzy inference system consists of mainly two parts, a rule base (or knowledge base) and an inference ...Mamdani ...

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Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation

Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation

... Traditional fuzzy modelling re- quires either complete experts’ knowledge or large data sets to generate rule bases such that the input spaces can be fully ...Although fuzzy rule interpolation ...

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Fuzzy rule interpolation and extrapolation techniques: Criteria and evaluation guidelines

Fuzzy rule interpolation and extrapolation techniques: Criteria and evaluation guidelines

... knowledge, rule-base construction may produce sparse or incomplete rule bases that may be due to missing or insufficient expertise or available sample data for covering all possible input ...

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Designing of rule base for a TSK- fuzzy system using bacterial foraging optimization algorithm (BFOA)

Designing of rule base for a TSK- fuzzy system using bacterial foraging optimization algorithm (BFOA)

... BFO and PSO algorithms are similar in several cases like considering position for agents in the search space so that it can change toward the location of the food (i.e., the optimum solution), iteratively. In PSO ...

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Fuzzy Expert System for the Selection of Tourist Hotel

Fuzzy Expert System for the Selection of Tourist Hotel

... Abstract: A model is represented for the selection of tourist hotel using the concept of fuzzy expert system. There are several ways for the selection of tourist hotel but till date no mathematical model is ...

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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength

Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength

... Fuzzy Neural Networks (FNNs) have been widely applied in business and economics like supply chain management, stock market, price prediction, gas condensate, energy consumption, electric load forecasting etc. (Kar ...

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Digital Simulation of Reduced Rule Fuzzy Logic Power System Stabilizer for Analysis of Power System Stability Enhancement

Digital Simulation of Reduced Rule Fuzzy Logic Power System Stabilizer for Analysis of Power System Stability Enhancement

... change. Fuzzy logic [1-4] provides a remarkably simple way to draw definite conclusions from vague, ambiguous or imprecise ...values; Fuzzy logic incorporates an alternative way of ...

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FUZZY EXPERT SYSTEM FOR THE NON INVASIVE METHOD OF THE LIVER CIRRHOSIS

FUZZY EXPERT SYSTEM FOR THE NON INVASIVE METHOD OF THE LIVER CIRRHOSIS

... of fuzzy logic is to map an input space to an output ...concurrently. Fuzzy logic is a powerful problem- solving methodology with a myriad of applications in embedded control and information ...

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Positioning Control of Separately Excited Dc Motor Drive by Using Self-Tuning Fuzzy-PID Controllers

Positioning Control of Separately Excited Dc Motor Drive by Using Self-Tuning Fuzzy-PID Controllers

... The rule base maps the fuzzy sets for the input to the fuzzy sets for the outputs and constitutes the core of a fuzzy ...the rule base NL, NM, NS, PS, PM, are notations ...

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Fuzzy Expert System for the Selection of Effective Road to Travel

Fuzzy Expert System for the Selection of Effective Road to Travel

... This work presents a model of traffic control system, which is designed by using the concept of fuzzy expert system for the selection of a road to travel. Here a trapezoidal membership function is used for input ...

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Fuzzy PID Controller Design for a Pressure Process Station

Fuzzy PID Controller Design for a Pressure Process Station

... and Fuzzy Logic controller, steady state in the short time is ...the Fuzzy PID controller is used to improve the performance of pressure process ...for Fuzzy PID controllers are ...conclusion ...

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Title: A Review on Fuzzy Rule-Base Expert System Assessment Possibility of Allergy

Title: A Review on Fuzzy Rule-Base Expert System Assessment Possibility of Allergy

... a fuzzy expert approach which is a combination of expert system and fuzzy ...a rule base and then stored in knowledge based. Fuzzy logic will take part as an inference engine that will ...

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Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control

Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control

... Defuzzification is performed to converts the fuzzy output of the inference engine to crisp using membership functions analogous to the ones used by the fuzzifier. There are many different methods for ...

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Design of Fuzzy Logic Controlled and PSO Optimized 7-level Inverter having non-Ideal DC Sources

Design of Fuzzy Logic Controlled and PSO Optimized 7-level Inverter having non-Ideal DC Sources

... Many factors affect the operation of multilevel inverter; voltage variation is one of them. In the proposed paper considering input voltage variations, lower order harmonics are eliminated with maintaining the ...

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Dynamic Model And Optimal Control Of A Snake Robot: TAROBOT  1

Dynamic Model And Optimal Control Of A Snake Robot: TAROBOT 1

... with Fuzzy and the Genetic Algorithm (GA) and controlling FUZZY PID, GA-PID and PID ...by FUZZY PID, GA-PID and PID control the performance of the system by simulation studies have been ...

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Ant Possibilistic Fuzzy Clustered Forecasting on High Dimensional Data

Ant Possibilistic Fuzzy Clustered Forecasting on High Dimensional Data

... Possibilistic Fuzzy Clustered Forecasting ...using fuzzy clustering as more requests are obtained from the ...probabilistic fuzzy clustered set distribution was applied in AP-FCF method for efficient ...

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On line identification of MIMO evolving Takagi Sugeno fuzzy models

On line identification of MIMO evolving Takagi Sugeno fuzzy models

... The fuzzy rule-based model has evolved to 11 rules formed around data samples with indices {1; 42;43;44;45;89;93;94;95;96;97} during the very short training phase (300 samples, while in [3] and [8] 3000 ...

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ABSTRACT:- A review paper on the various VLSI architectures of fuzzy logic based processors and

ABSTRACT:- A review paper on the various VLSI architectures of fuzzy logic based processors and

... of fuzzy logic, as it is he who has given the concept around four decades ...the fuzzy logic has been used in numerous applications and in every domain of science and ...The fuzzy logic has been ...

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