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Decision Support System for Determination of Forces Applied in Orthodontic Based on Fuzzy Logic

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 723))

Abstract

The aim of this paper is to design a decision support system based on fuzzy logic to assist the dentist in teeth alignment. There is lack of consistency among dentists in choosing the treatment plan. Moreover, there is no decision support system currently available to verify and support such decision making in dentistry. This paper presents a decision support system logic for determination of forces applied in an Orthodontic system based on fuzzy logic. We designed a knowledge base with 27 rules and used Mamdani inference algorithm to decide the possible the suitable force required to be applied on the archwire and suggest to decides for operation continuity or not to the dentist. It suggests suitable values of displacements, Young’s modulus and degree of pain as inputs that effect on the forces and decision of continuity as outputs. The results show Young’s modulus of archwires material plays an important role in detecting the value of force required to be applied on the archwire during the treatment process with consideration of the displacement to be moved by the tooth. Also, the result shows that the degree of patients pain is an important input in the decision of continuing treatment plan or not.

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Correspondence to Kadry Ali Ezzat .

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Omran, L.N., Ezzat, K.A., Hassanien, A.E. (2018). Decision Support System for Determination of Forces Applied in Orthodontic Based on Fuzzy Logic. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-74690-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74689-0

  • Online ISBN: 978-3-319-74690-6

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