Review of Assessment of Accuracy Using Min- Prod Fuzzy Error Matrix

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.