Comparative Analysis of Fuzzy Inference Tsukamoto Mamdani and Sugeno in the Horticulture Export Selling Price
Segar Napitupulu, Erna Budhiarti Nababan, Poltak Sihombing · 2020
This paper proposes and develops an Applying the fuzzy inference method by Mamdani, Tsukamoto and Sugeno. Author will produce a comparison in the final results for each method inthesame case. And this method will be tested on a design model in the process of determining or predicting the export price of a commodity to obtain an optimal profit from the sales of the export commodity. This model includes the prediction of the resale price of exported goods abroad. The process of determining the selling price is calculated using the Fuzzy fuzzyinference method by Mamdani, Tsukamoto, and Sugeno. The variables to be observed are the demand for goods, availability of goods in the farmers, and market price in the foreign countries. The output is an estimated resale price and the profit of each export commodity and the comparison of the selling prices using Mamdani, Tsukamoto, and Sugeno is 2.1% while Mamdani and Sugeno are only 1%after applying logical negation to the basic rules, it is applied to 1.6%. With this comparison, the writer will evaluate the rule base section of Tsukamoto. The results obtained in this study include the prediction model of the resale price of exported goods and the results of the comparison of the performance of the fuzzy interference byMamdani and Tsukamoto logic methods in optimization to provide a more optimal price.