Weighted Fuzzy Similarity Relations in Case-Based Reasoning: a Case Study in Classification

Author(s)

Sandri, Sandra ; Mendonca, Jonas ; Martins-Bede, Flavia ; Guimaraes, Ricardo ; Carvalho, Omar ; IEEE

• Document type: Journal article
• Source: 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE); v. N/A, p. 7-pg., 2012-01-01.

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. (AU)

• FAPESP's process: 12/02077-8 - 2012 IEEE World Congress on Computational Intelligence - WCCI'12
• Grantee: Sandra Aparecida Sandri
• Support Opportunities: Research Grants - Meeting - Abroad