Paraconsistent artificial neural network: an application in cephalometric analysis

  • Authors:

  • Jair Minoro Abe;Neli R. S. Ortega;Maurício C. Mário;Marinho Del Santo

  • Affiliations:

  • Institute For Advanced Studies, University of São Paulo;School of Medicine HCFMUSP/LIM01, University of São Paulo;School of Medicine HCFMUSP/LIM01, University of São Paulo;Orthodontist and Researcher

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
  • Year:
  • 2005

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Abstract

Paraconsistent artificial neural network (PANN) is a mathematical structure based on paraconsistent logic, which allows dealing with uncertainties and contradictions. In this paper we propose an application of PANN to analyze cephalometric measurements in order to support orthodontics diagnostics. Orthodontic and cephalometrical analysis taking into account several uncertainties and contradictions, ideal scenario to be treated by paraconsistent approach.