Optimasi Fungsi Keanggotaan Fuzzy menggunakan metode Mamdani terhadap Prediksi Perilaku Pembeli

SANDHOPI, - (2014) Optimasi Fungsi Keanggotaan Fuzzy menggunakan metode Mamdani terhadap Prediksi Perilaku Pembeli. Skripsi, Fakultas Ilmu Komputer.

PDF Download (218Kb)

Abstract

Sales optimization is done in various ways, one way to predict the behavior of buyers. In fuzzy logic to predict the behavior of buyers very well used in the study. Because fuzzy logic is conceptually easy to understand, flexible, tolerant of imprecise data, is able to model the nonlinear functions are very complex, can be built on the experience of experts, can be blended with conventional control techniques and is based on natural language. Method used is the Mamdani method. Because of the fuzzy inference system in mamdani method, there are several membership functions are used, for it is necessary to combining the membership functions so that it can obtain the optimal membership function. The results of this study states that the optimal combination of membership functions for the variables age, income and the price is Z Membership Function, Tringular Membership Function, Trapezoidal Membership Function, whereas for variable rate loans and status is Tringular Membership Function, Tringular Membership Function with MAPE 4,8%. At a later stage may extend to other methods or by developing into a decision support system to predict the behavior of buyers.

Actions (login required)