Spreadsheet aided fuzzy model for prediction of chapati making quality

A spreadsheet aided fuzzy logic model for predicting
chapati making quality characteristics of Indian wheat
varieties was created. Data collected from 19 randomly selected
wheat varieties were used. Starch damage, Farinograph water
absorption as input variables and chapati overall score as output
variable were fuzzified by the use of excel spreadsheet and
defuzzificationwas carried out usingweighted average method.
Fuzzy model was compared with the regression model of
measured data for its error levels and ease of application.
Standard error of estimate of fuzzy model was smaller (1.825)
than measured (2.895) chapati quality score regression model.