A Learning System Prediction Method Using Fuzzy Regression
نویسندگان
چکیده
This paper reports on the development of a learning system for the prediction of dichotomous response variables by combining fuzzy concept with classical regression technique. The algorithm involves linear transformation followed by linear programming. In the algorithm presented it was assumed that the logarithm of the odds (logit) is linearly related to X’s, the independent variables after undergoing the logit transformation. In this paper the research backgrounds and methodology are presented Index terms dichotomous, fuzzy regression, prediction
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