Implementation and Analysis of Fuzzy Mamdani Logic Algorithm from Digital Platform and Electronic Resource

Herpratiwi, H; Maftuh, M; Firdaus, Winci; Tohir, Ahmad; Daulay, Musnar Indra; Rahim, Robbi

doi:10.18421/tem113-06

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…One of the popular control techniques is fuzzy logic, which is known to provide a controller that simulates the behaviour of an expert operator [22]. The fuzzy logic Mamdani model is a fuzzy reasoning system that can be used to calculate values based on various criteria for evaluating teacher performance [23]. Mamdani systems are also reputable for fault diagnosis in automobiles the rules are developed from human expert knowledge since their rule bases are more intuitive and easier to understand [22].…”

Section: Review Of Related Literaturementioning

confidence: 99%

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A Fuzzy Logic-Based Automobile Fault Detection System Using Mamdani Algorithm

E. Kizito,

Ojei,

Okpor

2024

int.jour.sci.res.mana

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Due to advancement and complexity of modern automobiles, fault detection has gone beyond manual or trial by error methods. The fault detection technologies in automotive industry is used to identify any potential or already existing fault in automobiles. Faults in automobiles are usually mechanical or electrical faults that may include airbag control unit, radiator, gearbox, transmission control unit, tyre pressure, brakes, air conditioner, cylinder casket, alternator, hubs malfunctions etc. Each fault has a specific or related sign and symptoms. There are several methods of fault detections in automobiles like the binary logic technique, the fuzzy logic method technique and artificial intelligence technique with different algorithms. In this research work, we employed a fuzzy logic based technique that uses a Mamdani Algorithm which presented a better fault detection mechanism. Mamdani’s algorithm was proposed by Ebrahim Mamdani as a fuzzy inference method which has a rule-bases that are more intuitive and easier to analyse and implement. Mamdani’s algorithm produces fuzzy sets that originate from fuzzy inference system’s output membership function for decision making. This research work is a web-based technology that was implemented using JavaScript, JQuery and SQL server, ASP.Net, Bootstrap 3.5 and CSS. The output of the system showed a greater improvement from other existing methods of fault detections in automobiles.

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Section: Review Of Related Literaturementioning

confidence: 99%

“…As a result, the Mamdani model can be used to represent human guesses. The fuzzification, inference fuzzy engine, and defuzzification processes are distinct in a Mamdani fuzzy system [23]. During the fuzzification process, a specific value is introduced into the system and converted into a membership level for each rule.…”

Section: Review Of Related Literaturementioning

confidence: 99%

A Fuzzy Logic-Based Automobile Fault Detection System Using Mamdani Algorithm

E. Kizito,

Ojei,

Okpor

2024

int.jour.sci.res.mana

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“…below[16]: Formation of fuzzy sets for variables Input and output variables In the mamdani method, the implication function used for each rule is a minimum function. After determining the membership function of a variable, fuzzy logic rules are formed.…”

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confidence: 99%

Analysis of Student Satisfaction Level on its Influence in Courses Using Fuzzy Logic

Alwendi,

Andi Saputra Mandopa

2023

S.Publica

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One of the soft computing technologies that has been widely developed is fuzzy logic. One of the research themes that uses fuzzy logic is the assessment system in research. To do this, an application that can be used to calculate and record the results of lecturers in learning. The purpose of this study is to apply fuzzy logic with the Mamdani method for lecturer research activities at the University of Graha Nusantara Padangsidimpuan. The steps of the research using the Mamdani method: generating input variables taken from Sinta accredited articles, Simlitabmas grant articles, and articles in international and national journals. generate input variables taken from Sinta accredited articles, Simlitamas grant articles, and articles in international and national journals. In higher education, teachers play an important role in producing skilled and qualified graduates. Therefore, it is necessary to measure student satisfaction with the performance of lecturers at the UGN Padangsidimpuan campus. To determine student satisfaction, observations and questionnaires were distributed to respondents. The questionnaire as a tool and data collection method to measure student satisfaction with lecturer performance is the Mamdani fuzzy logic method.

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Implementation and Analysis of Fuzzy Mamdani Logic Algorithm from Digital Platform and Electronic Resource

Cited by 2 publications

References 12 publications

A Fuzzy Logic-Based Automobile Fault Detection System Using Mamdani Algorithm

A Fuzzy Logic-Based Automobile Fault Detection System Using Mamdani Algorithm

Analysis of Student Satisfaction Level on its Influence in Courses Using Fuzzy Logic

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