@InProceedings{SandriMendMart:2012:CaSt,
               author = "Sandri, Sandra Aparecida and Mendon{\c{c}}a, Jonas Henrique and 
                         Martins-Bed{\^e}, Fl{\'a}via",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Weighted Fuzzy Similarity Relations Case-Based Reasoning: a Case 
                         Study",
            booktitle = "Proceedings...",
                 year = "2012",
         organization = "IEEE International Conference on Fuzzy Systems.",
            publisher = "IEEE",
             keywords = "Basic principles, CBr, Classification tasks, Fuzzy similarity 
                         relation, Gradual rules, Implication operators, Prevalence 
                         estimation, Problem description, Training strategy.",
             abstract = "This paper describes a fuzzy similarity relation approach to 
                         Case-Based Reasoning. Residuated implication operators are used to 
                         create a fuzzy resemblance relation between cases, modeling the 
                         CBR basic principle the more similar the problem descriptions are, 
                         {"}the more similar the solution descriptions are{"} as a fuzzy 
                         gradual rule. We take the classification of Schistosomiasis 
                         prevalence estimation in a region of Brazil as case study, in 
                         order to investigate the effects in such a framework of weighting 
                         cases individually in classification tasks, considering a set of 
                         training strategies.",
  conference-location = "Brisbane",
      conference-year = "10-15 June",
                  doi = "10.1109/FUZZ-IEEE.2012.6251149",
                  url = "http://dx.doi.org/10.1109/FUZZ-IEEE.2012.6251149",
                 isbn = "978-146731506-7",
                 issn = "10987584",
                label = "lattes: 8073731810160654 2 SandriMendMart:2012:CaSt",
             language = "en",
               volume = "Article number6251149",
        urlaccessdate = "30 abr. 2024"
}