Fuzzy Logic Based Expert System for the Treatment of Mobile Tooth

  • Vijay Kumar Mago
  • Anjali Mago
  • Poonam Sharma
  • Jagmohan Mago
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 696)


The aim of this research work is to design an expert system to assist dentist in treating the mobile tooth. There is lack of consistency among dentists in choosing the treatment plan. Moreover, there is no expert system currently available to verify and support such decision making in dentistry. A Fuzzy Logic based expert system has been designed to accept imprecise and vague values of dental sign-symptoms related to mobile tooth and the system suggests treatment plan(s). The comparison of predictions made by the system with those of the dentist is conducted. Chi-square Test of homogeneity is conducted and it is found that the system is capable of predicting accurate results. With this system, dentist feels more confident while planning the treatment of mobile tooth as he can verify his decision with the expert system. The authors also argue that Fuzzy Logic provides an appropriate mechanism to handle imprecise values of dental domain.


Membership Function Linguistic Variable Fuzzy Output Root Canal Treatment Matching Degree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Vijay Kumar Mago
    • 1
  • Anjali Mago
  • Poonam Sharma
  • Jagmohan Mago
  1. 1.DAV CollegeJalandharIndia

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