Application of fuzzy logic in engineering problems

Gad, Ahmed S.; Farooq, M.

doi:10.1109/iecon.2001.975606

Cited by 22 publications

(8 citation statements)

References 120 publications

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“…[ 41,42 ] It establishes a strong relation between the given inputs and the system outputs and can give satisfactory predictions for a wide variety of input parameter combinations inside the working region. Later fuzzy logic has been used successfully for the solution of many engineering problems, [ 43,44 ] also it has been used for the prediction of wear rate. [ 45,46 ] In the present investigation, Mamdani‐based fuzzy logic model used with four input variables as given in Table 1 and an output variable (SWR).…”

Section: Experimental Investigationmentioning

confidence: 99%

Wear characteristics of glass‐polyester‐based hybrid composites: A parametric analysis using response surface method and fuzzy logic

2020

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Marble dust generated during processing of the marble producing rocks is a major solid waste with a detrimental impact on environment. Analysis shows that this waste has constituents having compounds like SiO2, Al2O3, Fe2O3, CaO, MgO, etc., in different proportions. This paper explores on the possible use of waste marble dust as secondary filler in glass‐polyester composites and reports on its dry sliding wear characteristics. Such hybrid composites with unsaturated polyester as the matrix are fabricated by keeping the woven glass fibre loading fixed and by varying the weight fraction of the particulate filler, that is, marble dust through a simple hand layup route. Dry sliding wear trials are conducted under different test conditions as per ASTM G 99‐05 following the L30 model of response surface method (RSM). A parametric appraisal of the wear process is made using RSM and the significant control factors and their interactions influencing the specific wear rates are identified. Scanning electron microscopy of the worn composite surfaces is done to ascertain the wear mechanism. It is found that the presence of marble dust improves the wear resistance of unfilled glass‐polyester composites substantially. Further, prediction of wear rate of the composites for a wide range of filler content and sliding velocities is conducted using RSM and another prediction model based on fuzzy logic and the outcomes are compared.

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Section: Experimental Investigationmentioning

confidence: 99%

Wear characteristics of glass‐polyester‐based hybrid composites: A parametric analysis using response surface method and fuzzy logic

2020

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“…Generally, an FLS consists of a rule base with rules associated with particular regions, where the information available is transparent and easily readable. This characteristic of fuzzy systems has been employed in many fields including medical (Bárdossy et al, 2014;Razak et al, 2013), engineering (Gad & Farooq, 2001), decision support (O. W. Samuel, Omisore, & Ojokoh, 2013), pattern recognition (Pedrycz, 1990) and others.…”

Section: Fuzzy Logic Systemsmentioning

confidence: 99%

Towards Designing A Hierarchical Fuzzy System for Early Diagnosis of Heart Disease

Razak

Mahadi

Halim

et al. 2019

JCRINN

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Heart disease may represent a range of conditions that affect our heart. Disease under heart diseases umbrella include coronary heart disease, heart attack, congestive heart failure, and congenital heart disease, is the leading cause of death. Mor eover, heart disease not only attacks the elderly. In the present day, lots of younger people might be getting affected by the number of heart diseases. In order to decrease the mortality rate caused by heart disease, it is necessary for the disease, to be diagnosed at an early stage. In this paper, we have proposed the use of hierarchical fuzzy systems (HFSs) for early diagnosis of heart disease. However, to design the HFSs is challenging, especially for the complex system. Therefore, in this paper, we foc us on designing a hierarchical fuzzy system to handle the complex medical application. The designed HFS consists of six key main steps implemented on heart disease. The input variables of heart disease includes shortness of breath, discomfort, pressure, he aviness, or pain in the chest, arm, or below the breastbone, fatigue, nausea, difficulties in climbing stairs, swelling in ankles, difficulty to sleep at night, irregular heartbeats, fullness, sweating, take frequent break during the day, dizzy and depress ed. Additionally, the output of heart disease is to classify whether the patient is healthy or suspecting with heart disease. The study contributes to providing insight into a way of designing the HFSs, particularly for the complex medical application.

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“…Fuzzy logic is a practical mathematical addition to classic Boolean logic. The areas of application of fuzzy logic have spread from consumer electronics to industrial control, information processing, financial analysis, robotics, communication and network and much more in just the past few years [15][16][17][18][19][20][21][22][23][24].…”

Section: Normalised Power and Bandwidth Requirementmentioning

confidence: 99%

Adaptive differential amplitude pulse‐position modulation technique for optical wireless communication channels based on fuzzy logic

Abdullah

Wee

2014

IET Communications

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Optical wireless communication has the potential for extremely high data rates of up to tens of Gb/s. In this study, a hybrid modulation technique named adaptive differential amplitude pulse-position modulation (DAPPM) is proposed to improve channel immunity by utilising optimised modulation to channel. The unit transmission rate, channel capacity, peak-to-average power ratio, bandwidth requirement and power requirement of the DAPPM were determined and compared with other modulation schemes such as on-off key, pulse-amplitude modulation, pulse-position modulation (PPM), differential PPM and multilevel digital pulse interval modulation. The simulation results show that DAPPM gives better bandwidth and power efficiency depending on the number of amplitude level (A) and the maximum length (L) of a symbol. In addition, the fuzzy logic module is developed to assist the adaptation process of DAPPM. Mamdani fuzzy logic method is used in which the decisions made by the system will be approaching to what would be decided by the user in the real world.

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Application of fuzzy logic in engineering problems

Cited by 22 publications

References 120 publications

Wear characteristics of glass‐polyester‐based hybrid composites: A parametric analysis using response surface method and fuzzy logic

Wear characteristics of glass‐polyester‐based hybrid composites: A parametric analysis using response surface method and fuzzy logic

Towards Designing A Hierarchical Fuzzy System for Early Diagnosis of Heart Disease

Adaptive differential amplitude pulse‐position modulation technique for optical wireless communication channels based on fuzzy logic

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