Using similarity assessment in case-based reasoning to solve power system substation problems

Autores

  • Germano Lambert Torres Universidade Federal de Itajubá
  • Helga Gonzaga Martins Universidade Federal de Itajubá
  • Ronaldo Rossi Universidade de Taubaté
  • Luiz Eduardo Borges Silva Universidade Federal de Itajubá

Resumo

This paper presents the results from application back up of diagnostic decision supported by a Case Based Reasoning (CBR), with the presentation of a retriever prototype used for cases recovering from a specialist domain. Its aim is to recover, from a memory of cases, the most adequate case for a new situation and to suggest the solution for the new case.

Downloads

Publicado

2008-10-12

Edição

Seção

Artigos