Review of Assessment of Accuracy Using Min- Prod Fuzzy Error Matrix
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Abstract
Fuzzy error matrix uses fuzzy set intersection operator between actual data and soft classified data. It gives maximum overlap values to compute accuracy. There are various operators available to compute elements of error matrix. MIN-PROD error matrix uses expected overlap to compute elements of error matrix. This gives more accurate assessment of accuracy. In this paper an tool SCAASFER used to assess accuracy over soft classified data using MIN-PROD error matrix. The results provided by this tool are analyzed and reviewed in the context of MIN-PROD error matrix.
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