• No results found

Fuzzy Rule Base

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT SURVEY OF DATA CLASSIFICATION USING FUZZY RULE BASE SYSTEM

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT SURVEY OF DATA CLASSIFICATION USING FUZZY RULE BASE SYSTEM

... networks, fuzzy rule-based systems (FRBS), regression, support vector machines, ...classification, Fuzzy Rule Base system is one of them. Fuzzy Rule Base system ...

5

A Framework for Selection of Membership function using Fuzzy Rule Base System for the Classification of Yeast Data

A Framework for Selection of Membership function using Fuzzy Rule Base System for the Classification of Yeast Data

... From Table 7, it has been observed that when using membership function for input variable as Trapezoidal membership function and output variable as Triangular membership function, the system gives minimum average error ...

9

CLASSIFICATION OF DATA BY USING ROUGHF SET THEORY AND FUZZY RULE BASE SYSTEM FOR DATA MINING.

CLASSIFICATION OF DATA BY USING ROUGHF SET THEORY AND FUZZY RULE BASE SYSTEM FOR DATA MINING.

... data.A rule base system consists of if-then rules, a bunch of facts, and an interpreter controlling the application of the ...rules. Fuzzy rule base System extracts rules for the ...

11

A Fuzzy Rule Base System for the Diagnosis of Heart Disease

A Fuzzy Rule Base System for the Diagnosis of Heart Disease

... that Fuzzy rule base system using Gaussian membership function has given best result as compared to other membership ...using fuzzy rule base ...using fuzzy rule ...

8

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 ...

7

Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions
and Research Directions

Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions

... SVM, fuzzy rule base (FRB), fuzzy C-means (FCM), wavelet transform (WT), particle swarm optimization (PSO), AIS, genetic programming (GP), firefly algorithm (FA), fruit fly optimization ...

31

Load Frequency Control in Deregulated Power System using Fuzzy C Means

Load Frequency Control in Deregulated Power System using Fuzzy C Means

... a fuzzy C-means controller proposed to the generation of optimal fuzzy rule base by Fuzzy C - Means clustering technique (FCM) for load frequency control in deregulated ...the ...

8

MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

... the fuzzy rule ...when fuzzy logic is utilized as the tool for optimizing performance which suggest the implementation of this approach in optimizing ...different fuzzy rule base ...

6

Fuzzy Expert System for the Selection of Effective Road to Travel

Fuzzy Expert System for the Selection of Effective Road to Travel

... the fuzzy rule base of the fuzzy expert system to derive linguistic values for the intermediate as well as the output linguistic ...a rule is assigned a degree of truth based on the ...

7

Speed Control of DC Motor using Fuzzy Logic based on LabVIEW

Speed Control of DC Motor using Fuzzy Logic based on LabVIEW

... using fuzzy logic control (FLC) based on LabVIEW (Laboratory Virtual Instrument Engineering Workbench) ...The fuzzy logic controller designed to apply the required control voltage that sent to dc motor ...

5

On line identification of MIMO evolving Takagi Sugeno fuzzy models

On line identification of MIMO evolving Takagi Sugeno fuzzy models

... unsupervised fuzzy rule-base antecedents learning by a recursive, non- iterative clustering, and the supervised linear sub-model parameters learning by Kalman-filtering-based procedure, are extended ...

6

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

... To make fuzzy rule base, input output pairs are required. Input output pairs can be made with any expert knowledge or with any logic. The number of membership function can be chosen arbitrary ...

10

Development of an automobile robot system 
		model based on soft computing in an unsteady environment

Development of an automobile robot system model based on soft computing in an unsteady environment

... the fuzzy rule base were described, an optimizer of the number of features of fuzzy linguistic variables based on soft computing was ...of fuzzy model rule base allows ...

7

Performance Analysis Of Dual Inverter For Pmsm Using Fuzzy Logic Controller

Performance Analysis Of Dual Inverter For Pmsm Using Fuzzy Logic Controller

... on fuzzy rule-base in Fuzzy Logic speed Controller (FLC) for Dual Permanent Magnet Synchronous Motor (PMSM) ...Two fuzzy speed controllers which are standard and simplified fuzzy ...

8

Fuzzy Expert System for the Selection of Tourist Hotel

Fuzzy Expert System for the Selection of Tourist Hotel

... the fuzzy rule base of the fuzzy expert system to derive linguistic values for the intermediate as well as the output linguistic ...a rule is assigned a degree of truth based on the ...

10

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 ...

9

International Journal of Emerging Technology and Advanced Engineering

International Journal of Emerging Technology and Advanced Engineering

... The fuzzy logic controller works on membership function, which provides a method to represent linguistic variable as “many,” “low,” “medium,” “often,” “few” ...the fuzzy logic provides an inference ...

5

Ant Possibilistic Fuzzy Clustered Forecasting on High Dimensional Data

Ant Possibilistic Fuzzy Clustered Forecasting on High Dimensional Data

... ABSTRACT: Stock market plays a significant role and has greater influence on basic economic energies of a country. Rapid changes in the stock exchange market with high dimensional uncertain data make the investors to ...

10

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 processors and ...a fuzzy logic processor was done by Togai and Watanabe ...a fuzzy processor with improved ...a fuzzy processor using ...of fuzzy logic processors is proposed ...

7

Evaluation of Enterprise Performance Based on FLI-GA Model

Evaluation of Enterprise Performance Based on FLI-GA Model

... convex fuzzy set principles; Select less evaluation indexes and rules to reduce complex calculations; Try to satisfy the requirement of non-overlapping membership; Describe the transition relations intuitively ...

17

Show all 10000 documents...

Related subjects