Fuzzy set theory for cumulative trauma prediction

• Autores: D. J. Fonseca, T. W. Merritt, G. P. Moynihan
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 8, Nº. 2, 2001, págs. 129-135
• Idioma: inglés
• Títulos paralelos:
  • Teoría de conjuntos difusos para la predicción del trauma acumulativo
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• Resumen

  • A widely used fuzzy reasoning algorithm was modified and implemented via an expert system to assess the potential risk of employee repetitive strain injury in the workplace. This fuzzy relational model, known as the Priority First Cover Algorithm (PFC), was adapted to describe the relationship between 12 cumulative trauma disorders (CTDs) of the upper extremity, and 29 identified risk factors. The algorithm, which finds a suboptimal subset from a group of variables based on the criterion of priority, was adopted to enable the inference mechanism of a constructed knowledge-based system to predict CTD occurrence.