An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System

Hosseini, Rahil; Qanadli, Salah D.; Barman, Sarah; Mazinani, Mahdi; Ellis,; Dehmeshki,

doi:10.1109/tfuzz.2011.2172616

Cited by 86 publications

(32 citation statements)

References 26 publications

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“…In order to develop more advanced control methods to deal with this issue, many approaches have been proposed for last two decades, including fuzzy logics (FL) [1][2][3][4][5][6], sliding mode techniques [1,[7][8][9][10][11][12][13][14], a compensator design for UAD [15][16][17], and hybrid control methods [18][19][20][21][22][23]. Among those, the sliding mode control (SMC) is recognized as one of the best control techniques for control systems subjected to UAD.…”

Section: Introductionmentioning

confidence: 99%

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A New Fuzzy Sliding Mode Controller with a Disturbance Estimator for Robust Vibration Control of a Semi-Active Vehicle Suspension System

Song

Choi

2017

Applied Sciences

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This paper presents a new fuzzy sliding mode controller (FSMC) to improve control performances in the presence of uncertainties related to model errors and external disturbance (UAD). As a first step, an adaptive control law is designed using Lyapunov stability analysis. The control law can update control parameters of the FSMC with a disturbance estimator (DE) in which the closed-loop stability and finite-time convergence of tracking error are guaranteed. A solution for estimating the compensative quantity of the impact of UAD on a control system and a set of solutions are then presented in order to avoid the singular cases of the fuzzy-based function approximation, increase convergence ability, and reduce the calculating cost. Subsequently, the effectiveness of the proposed controller is verified through the investigation of vibration control performances of a semi-active vehicle suspension system featuring a magnetorheological damper (MRD). It is shown that the proposed controller can provide better control ability of vibration control with lower consumed power compared with two existing fuzzy sliding mode controllers.

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Section: Introductionmentioning

confidence: 99%

“…As is well known, the fuzzy system is a kind 2 of 20 of approximated function with a high degree of flexibility. This inherent feature has meant that FL is used as a powerful tool in many control approaches [22,23,32].…”

Section: Introductionmentioning

confidence: 99%

A New Fuzzy Sliding Mode Controller with a Disturbance Estimator for Robust Vibration Control of a Semi-Active Vehicle Suspension System

Song

Choi

2017

Applied Sciences

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“…When the information is so fuzzy that even defining the membership function values in the interval [0,1] is difficult, a type-2 membership function is beneficial (Hosseini et al, 2012). A type-2 membership function can be considered as a collection of different embedded type-1 fuzzy sets, which construct the footprint of uncertainty (FOU) (Hu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Genetic-algorithm-based type reduction algorithm for interval type-2 fuzzy logic controllers

2015

Engineering Applications of Artificial Intelligence

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“…computer aided detection (CAD) tools are presented with the purpose of facilitating the diagnosis of different diseases and acceleration of the treatment process [18]- [20]. One of the current applications of the CAD systems is to analysis the severity diagnosis of peptic ulcer presented in [10].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Inference System for Assessment of the Severity of the Peptic Ulcers

Rezaei¹,

Hosseini²,

Mazinani³

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Peptic ulcer disease is the most common ulcer of an area of the gastro-intestinal tract. The aim of this study is to utilize soft computing techniques to manage uncertainty and imprecision in measurements related to the size, shape of the abnormality. For this, we designed a fuzzy inference system (FIS) which emulates the process of human experts in detection and analysis of the peptic ulcer. The proposed approach models the vagueness and uncertainty associated to measurements of small objects in low resolution images In this study, for the first time, we applied soft computing technique based upon fuzzy inference system (FIS) for assessment of the

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An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System

Cited by 86 publications

References 26 publications

A New Fuzzy Sliding Mode Controller with a Disturbance Estimator for Robust Vibration Control of a Semi-Active Vehicle Suspension System

A New Fuzzy Sliding Mode Controller with a Disturbance Estimator for Robust Vibration Control of a Semi-Active Vehicle Suspension System

Genetic-algorithm-based type reduction algorithm for interval type-2 fuzzy logic controllers

A Fuzzy Inference System for Assessment of the Severity of the Peptic Ulcers

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