Fuzzy Expert System of Dental and Oral Disease with Certainty Factor

doi:10.20943/01201703.2230

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…The user interface is a view that is used for communication between systems and users of the expert system [21]. Appearance the home page is the start page when first time accessing the determination expert system application interests and talents of elementary school students here are the home page users are shown in Figure 4.…”

Section: User Interfacementioning

confidence: 99%

Certainty Factor Methods in Identifying Interests and Talents of Elementary School Children Al Ikhlas Taqwa

Fitria

Idrus

Asiah

et al. 2023

BAREKENG: J. Math. & App.

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Psychologists and child education experts always remind the importance of knowing interests and talents from an early age to provide a stimulus to children from an early age, because the provision of the stimulus affects the future of children. This study aims to (1) To make calculations in mathematical models to calculate and analyze the interests of children's talents using applications. (2) To create a web-based information system that can facilitate teachers and parents in determining the interests of children's talents at the Al-Ikhlas Taqwa Plus Elementary School using the Certainty Factor method. The method used in this research is the research and development (R&D) method using the certainty factor. The population in this study were all students of SD Plus Al Ikhlas Taqwa Medan T.P 2021/2022 starting from grades 3-6. Sampling was done by purposive sampling technique. Data collection was carried out by interviews, material expert test questionnaires, and media experts, and the results of the children's talent interest questionnaire were processed using the Certainty Factor. The results of this study are the results of interest and talent analysis based on 7 intelligence criteria and also the highest summary results from several criteria with one of the tests yielding a percentage of 93.58% in the field of linguistics.

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Section: User Interfacementioning

confidence: 99%

Certainty Factor Methods in Identifying Interests and Talents of Elementary School Children Al Ikhlas Taqwa

Fitria

Idrus

Asiah

et al. 2023

BAREKENG: J. Math. & App.

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“…CF is a concept used to provide a level of confidence [47]. The CF value can affect the classification process to provide the accuracy of the results given [48]. The results of the preprocessing analysis using CF can be seen in Table 2.…”

Section: Table 1 Otitis Disease Data Code Disease Symptoms G10mentioning

confidence: 99%

Optimization deep learning with rough set approach model classification Otitis

Arief Wisky,

Ade Putra

2023

IJEECS

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<span>Otitis is a disease that occurs in the middle ear in the form of inflammation. This research aims to develop an analysis model for the classification of Otitis disease based on knowledge patterns based on symptoms and type of disease. The analysis methods used include the performance of the certainty factor (CF), rough set (RS), artificial neural network (ANN), and decision tree (DT) methods. CF and RS performance can be used to generate classification rule patterns. These rule patterns become new knowledge in the classification analysis process using the concept of deep learning (DL). DL analysis with ANN and DT performance can work optimally in exploring and discovering hidden knowledge. Based on the results of performance testing, the combination of CF and RS in preprocessing can present a classification pattern of 106 rules. The output of DL analysis results is proven to produce precise and accurate classification results with an accuracy of 89%. Based on these results, the analytical model developed was proven to be effective in classifying Otitis disease. Not only that, this research is also able to contribute to updating the knowledge-based system in the classification process.</span>

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“…To aid dental professionals in making decisions, Mago et al created a fuzzy logic based expert system that allows imprecise values of dental signsymptoms linked with mobile teeth [31]. Ambara and co-workers devised a fuzzy logic-based expert system that is both time and cost effective, and can be conducted without the use of any equipment reducing the patient's stress [32]. Hererra and associates employed a fuzzy logic-based approach to anticipate the change in colour after bleaching based on the original chrome values of the teeth [33].…”

Section: Fuzzy Logicmentioning

confidence: 99%

Artificial Intelligence in dentistry: Concepts, Applications and Research Challenges

2021

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Artificial Intelligence (AI) has the ability to process huge datasets, disclose human essence computationally, and perform like humans as technology advances. Because of the necessity for precise diagnosis and improved patient care, AI technology has greatly influenced the healthcare industry. In the domains of dentistry and medicine, artificial intelligence has yet to come a long way. As a result, dentists must be aware of the potential implications for a profitable clinical practise in the future. In this paper, we present the current applications of AI in dentistry. The different types of AI techniques are introduced and summarized. The state-of-the-art literature is studied analysed. A comparative analysis on the different AI techniques in dentistry is presented. Further, the research challenges in the field of dentistry and future directions are also provided.

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Fuzzy Expert System of Dental and Oral Disease with Certainty Factor

Cited by 9 publications

References 3 publications

Certainty Factor Methods in Identifying Interests and Talents of Elementary School Children Al Ikhlas Taqwa

Certainty Factor Methods in Identifying Interests and Talents of Elementary School Children Al Ikhlas Taqwa

Optimization deep learning with rough set approach model classification Otitis

Artificial Intelligence in dentistry: Concepts, Applications and Research Challenges

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