Interpretation of group measurements of validation data using fuzzy techniques in an object-oriented approach

  • Authors:
  • Eduardo Mosqueira-Rey;Vicente Moret-Bonillo

  • Affiliations:
  • Department of Computer Science, University of A Coruña, A Coruña, Spain;Department of Computer Science, University of A Coruña, A Coruña, Spain

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
  • Year:
  • 2006

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Abstract

Fuzzy logic is particularly indicated for representing the uncertainty associated with the processes that take place in non-probabilistic systems. It is also useful for the linguistic quantification of sets in which the classification of concepts and events is affected by semantic imprecision. We describe a fuzzy method designed to assist with interpretations of group measurements obtained from validation data for intelligent systems operating in complex domains. The method described was implemented applying an object-oriented paradigm. The suitability of using fuzzy methods and an object-oriented approach are both discussed in the article.