Fuzzy Inference System Tsukamoto for Decision Making in Ordering Goods (Bui ing Materials)

Wiwien, Hadikurniawati and Taufiq, Dwicahyono Fuzzy Inference System Tsukamoto for Decision Making in Ordering Goods (Bui ing Materials). ICIST 2020.

PDF Download (1MB)

Abstract

Decision making recommendation system in this research aims to determine the amount of the building materials that must be available to meet the needs of the construction of housing projects. Calculating the right amount of the building materials is v important in a project, because it determines the amount of thMidget to be made by a building contracting company. This decision making is useful to determine the amount of the building materials that must be available based on inventory data and the number of requests using Tsukamoto Fuzzy Inference System. Decision making in this study was modeled with three variables. Each variables consists of 3 fuzzy sets. The amount of inventory in this system is determined by the centralized average defuzzification method. The proposed method can predict precisely the amount of the building materials. The accuracy of the test data is shown based on the MSE obtained from the prediction results. Based on the calculation of the error can be concluded that the actual order at the company compared to the calculation using Tsukamoto FIS had an error of 0.11505. So it can be concluded that the method in this system can work well and has high accuracy.

Item Type:	Article
Subjects:	T Technology > TD Environmental technology. Sanitary engineering
Faculty / Institution:	Fakultas Teknologi Informasi
Depositing User:	Fakultas Ekonomi
Date Deposited:	07 Oct 2022 03:01
Last Modified:	07 Oct 2022 03:47
URI:	https://eprints.unisbank.ac.id/id/eprint/8807

Actions (login required)

View Item