Abstract
AbstractThe Soft Computing techniques presents an alternative to software development effort estimations and this paper is concerned with estimating the early stage effort estimations using student datasets. As we know, the output of fuzzy inference system depends on the selection of defuzzification method. This paper compares the outcomes of Mamdani Fuzzy Inference System (FIS) created using four different types of defuzzification methods namely centroid, bisector, Mean of Maximum (MOM) and Largest of Maximum (LOM). For this purpose a two inputs and one output Mamdani FIS was created using the above four defuzzification methods. The outputs (efforts) are evaluated using the standard performance evaluation metrics like Magnitude of Relative Error (MRE), Median of Magnitude of Relative Error (MMRE) etc. and it was found that the centroid method is the best and lom is worst among the defuzzification methods.KeywordsEffort estimationSoft computingMamdani FISdefuzzificationmetrics
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