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18 results with keyword: 'interval type tsk fuzzy inference system'

Interval Type-2 TSK+ Fuzzy Inference System

Given an input or ob- servation, which does not overlap with any rule antecedent, fuzzy interpolation can still approximate the conclusion by considering the neighboring rules in

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2021
Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

This study proposes the use of interval type-2 intuitionistic fuzzy logic system of Takagi-Sugeno-Kang (IT2IFLS-TSK) fuzzy inference that utilises more parameters than type-2

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2020
Interval Type-2 Fuzzy Logic Toolbox

The Mamdani and Takagi-Sugeno-Kang (TSK) Interval Type-2 Fuzzy Inference Models [10] and the design of Interval Type-2 membership functions and operators are implemented in the

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2022
Rainfall-runoff modelling of a watershed

Adaptive Neuro Fuzzy Inference System (ANFIS) is a fuzzy mapping algorithm that is based on Tagaki-Sugeno-Kang (TSK) fuzzy inference system (Jang et al., 1997

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2021
An Extended Takagi-Sugeno-Kang Inference System (TSK+) with Fuzzy Interpolation and Its Rule Base Generation

A novel fuzzy interpolation approach, which extends the TSK inference, is presented in this paper. The proposed fuzzy inference engine is workable with sparse, dense or

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2021
An extended Takagi–Sugeno–Kang inference system (TSK+) with fuzzy interpolation and its rule base generation

A novel fuzzy interpolation approach, which extends the TSK inference, is presented in this paper. The proposed fuzzy inference engine is workable with sparse, dense or

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2021
Type-2 Fuzzy Inference System Visual Components for Building Java Intelligent Applications

JT2FISPanel and JT2FISClusteringPanel are Java visual components to Build Java Intelligent Applications using Java Interval Type-2 Fuzzy Inference System and clustering method for

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2020
Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction

Our approach is also compared with three evolving T2FLSs namely, self evolving interval type-2 fuzzy neural network (SEIT2FNN) utilising IT2FS in the antecedents and TSK interval

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2021
Designing Flexible Neuro-Fuzzy System Based on Sliding Mode Controller for Magnetic Levitation Systems

Basic flexible OR-type neuro-fuzzy inference system and basic compromise AND-type neuro-fuzzy inference system are two new flexible neuro-fuzzy controllers

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2021
Interval type 2 intuitionistic fuzzy logic system for non linear system prediction

Our approach is also compared with three evolving T2FLSs namely, self evolving interval type-2 fuzzy neural network (SEIT2FNN) utilising IT2FS in the antecedents and TSK interval

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2020
An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis

This work shows the potentiality, simplicity and viability of a fuzzy inference system using only interval type-2 fuzzy sets to instrument fault detection and diagnosis.. The

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2020
Wave Forecasting using Meta-cognitive Interval Type-2 Fuzzy Inference System

A computationally fast interval type-2 neuro-fuzzy inference system and its meta-cognitive projection based learning algorithm, in: 2014 International Joint Conference on

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2021
Extended Kalman filter based learning of interval type 2 intuitionistic fuzzy logic system

In this study, the use of decoupled extended Kalman filter (DEKF) to optimize the parameters of an interval type-2 intuitionistic fuzzy logic system of Tagagi-Sugeno-Kang

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2020
Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System

ABSTRACT: In this paper, adaptive network based fuzzy inference system (ANFIS) was used in control applications of a Heat Exchanger as interval type-2 fuzzy logic

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2020
Adaptive Interval Type-2 Fuzzy Inference System for Facial Expression Recognition

The rules used in this model are similar to those used in type-1 model except that the input values in each rule are fuzzified using interval type-2 fuzzy sets.. The output functions

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2020
Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System

ABSTRACT: In this paper, adaptive network based fuzzy inference system (ANFIS) was used in control applications of a Shell and Tube Heat Exchanger as interval type-2 fuzzy

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2020
Electric Load Forecasting: An Interval Type-II          Fuzzy Inference System Based Approach

The algorithm uses historic dataset of electric load to generate FOUs and FLRs (Fuzzy Logic Relationship) which along with present and previous hour load values gives multiple

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2020
“An Interval Type-2 Fuzzy Logic Approach for Induction Motors Stator Condition Monitoring”

motor condition is diagnosed using a compositional rule of interval type-2 fuzzy

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2020

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