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type II fuzzy logic

The Economic Application Approach of Fuzzy Logic Controller Type I and II for Second Order Linear Systems

The Economic Application Approach of Fuzzy Logic Controller Type I and II for Second Order Linear Systems

... [12] Dabbaghjamanesh, M., A. Moeini, M. Ashkaboosi, P. Khazaei, and K. Mirzapalangi. "High performance control of grid connected cascaded H-Bridge active rectifier based on type II-fuzzy ...

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Landing on the moon with type-2 fuzzy logic

Landing on the moon with type-2 fuzzy logic

... used type- 2 fuzzy control structure to the lunar lander ...novel type-2 fuzzy moon landing control system which is composed of two key blocks, namely the error signal generator and the ...

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Photovoltaic Power Control Using Fuzzy Logic and Fuzzy Logic Type 2 MPPT Algorithms and Buck Converter

Photovoltaic Power Control Using Fuzzy Logic and Fuzzy Logic Type 2 MPPT Algorithms and Buck Converter

... This paper is organized as follows: Section II explains the operating principle of a photovoltaic cell and gives the I-V and P-V characteristics of the studied PV array. Section III deals with DC/DC converters and ...

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Interval type 2 A intuitionistic fuzzy logic for regression problems

Interval type 2 A intuitionistic fuzzy logic for regression problems

... using type-1 A-intuitionistic fuzzy in- ference ...Table II shows the average RMSE and standard deviation (SD) over 25 simulations for each ...Table II shows the comparison of the RMSE on the ...

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A FUZZY LOGIC CONTROLLER FOR EMULATION OF SUITABLE INSULIN DOSE IN TYPE II DIABETIC PATIENTS

A FUZZY LOGIC CONTROLLER FOR EMULATION OF SUITABLE INSULIN DOSE IN TYPE II DIABETIC PATIENTS

... Fuzzy relations for inputs (age, blood pressure, BMI, FBS, non-FBS ) and output ( dose of insulin administered for patients) that consider as table 1. the membership functions for output is shown in figures2. In ...

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Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

... evolving fuzzy optimally pruned extreme learning machine (eF-OP-ELM), was reported for analysing this time ...for fuzzy systems based on online sequential ELM (OS-fuzzy-ELM) were also reported in ...

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II. DATA INTERPRETATION WITH FUZZY LOGIC

II. DATA INTERPRETATION WITH FUZZY LOGIC

... a fuzzy rule set is re- quired which allows creation of an ...with fuzzy sets VeryHigh for fulfillment that is as planned and VeryLow, if large problems are ...intermediate fuzzy sets complete this ...

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An Improved Type 1 Fuzzy Logic Method for Edge Detection

An Improved Type 1 Fuzzy Logic Method for Edge Detection

... The rest of the Paper is organized as follows. Section II describes the Sobel operator technique. Section III describes the edge detection by gradient magnitude. Section IV describes the edge detection technique ...

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Hybrid learning for interval type 2 intuitionistic fuzzy logic systems as applied to identification and prediction problems

Hybrid learning for interval type 2 intuitionistic fuzzy logic systems as applied to identification and prediction problems

... intuitionistic fuzzy index (IF-index) or neutral ...intuitionistic fuzzy logic system (IT2 IFLS-TSK) ...incorporating fuzzy NMF into the conventional IT2 FS is able to deal with indeterminate ...

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Fuzzification Of Fuzzy Logic And Fuzzy Sets
With An Overview Of Fuzzy Set Operations And
Applications

     R.Gayathri M.Phil, Dr.P.Mayilvahanan Phd, Dr.P.Guhan M.C.A,M.Phil,Phd Abstract PDF  IJIRMET160206022

Fuzzification Of Fuzzy Logic And Fuzzy Sets With An Overview Of Fuzzy Set Operations And Applications R.Gayathri M.Phil, Dr.P.Mayilvahanan Phd, Dr.P.Guhan M.C.A,M.Phil,Phd Abstract PDF IJIRMET160206022

... of fuzzy logic comes into ...of fuzzy logic have been improved significantly. Fuzzy logic can deal with information that is arising from computational observation, understanding ...

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Type 2 Fuzzy Logic Controllers Based Genetic Algorithm for the Position Control of DC Motor

Type 2 Fuzzy Logic Controllers Based Genetic Algorithm for the Position Control of DC Motor

... Fuzzy logic controllers (FLCs) are usually constructed using type-1 fuzzy sets [1], referred to as type-1 ...that type-1 FLCs may have difficul- ties in modeling and minimizing ...

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Handling Uncertain Leases in Infrastructure as a Service Clouds

Handling Uncertain Leases in Infrastructure as a Service Clouds

... intuitionist fuzzy sets (IFS) paradigm to construct an efficient load balancing scheme in cloud computing environment is ...classical fuzzy logic by an intuitionist fuzzy logic, ...

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Automatic room temperature control

Automatic room temperature control

... Nowadays, the air conditioning is widely used especially in warm countries including Malaysia. Usually the conventional air conditioning is always cooling the room depending on the fixed temperature setting and is not ...

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Development of Interest in Science and Interest in Teaching Elementary Science: Influence of Informal, School,  and Inquiry Methods Course Experiences

Development of Interest in Science and Interest in Teaching Elementary Science: Influence of Informal, School, and Inquiry Methods Course Experiences

... classifiers. Type-1 fuzzy fusion model for SVMs (T1FFSVM) defined in Chapter 4 is constructed using the traditional fuzzy logic in consideration of classification accuracies and classification ...

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fuzzy-logic.ppt

fuzzy-logic.ppt

... 1970 First Application of Fuzzy Logic in Control Engineering (Europe).. 1975 Introduction of Fuzzy Logic in Japan.[r] ...

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Type 2 fuzzy elliptic membership functions for modeling uncertainty

Type 2 fuzzy elliptic membership functions for modeling uncertainty

... Fuzzy logic has had a significant impact on identification and control prob- lems since it was firstly proposed by Zadeh in 1965 ...[1]. Fuzzy logic owes its exceptional scientific reputation ...

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Interval Type 2 Fuzzy Logic Control of Mobile Robots

Interval Type 2 Fuzzy Logic Control of Mobile Robots

... our type-2 fuzzy controller we have three in- puts, two outputs and eight rules, that is deduced from its corresponding type-1 fuzzy logic by spreading the ante- cedent and consequence ...

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Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System

Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System

... type2 fuzzy inference system (IT2FIS) and represents Takagi-Sugeno fuzzy model as generalized feed forward neural network, and trains it with Heat Exchanger I/O data, thereby adjusting the parameters of the ...

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A Study on Performance of Fuzzy Logic Type 2 PSS and Fuzzy type 2 Model Reference Learning PSS

A Study on Performance of Fuzzy Logic Type 2 PSS and Fuzzy type 2 Model Reference Learning PSS

... ABSTRACT: A low power programmable frequency divider is proposed in this paper which is appropriate for WLAN applications. Multi- modulus architecture in dynamic logic with the minimum number of transistors is ...

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Interval Type-2 Fuzzy Logic And Ga Techniques: A Review

Interval Type-2 Fuzzy Logic And Ga Techniques: A Review

... different possible antecedent rule sets each with a single consequent (one of 8). Each gene is a pair of integers; the antecedent part and the consequent part. Each individual chromosome consists of a variable length ...

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