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

DOI

10.2991/aer.k.211129.012How to use a DOI?

Keywords

Tsukamoto fuzzy interference system; decision making in ordering goods of building materials; mean squared error (MSE)

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 very important in a project, because it determines the amount of the budget 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.

Copyright

© 2021 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Wiwien Hadikurniawati
AU  - Edy Winarno
AU  - Muchamad Taufiq Anwar
AU  - Taufiq Dwi Cahyono
PY  - 2021
DA  - 2021/11/30
TI  - Fuzzy Inference System Tsukamoto for Decision Making in Ordering Goods (Building Materials)
BT  - Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)
PB  - Atlantis Press
SP  - 50
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211129.012
DO  - 10.2991/aer.k.211129.012
ID  - Hadikurniawati2021
ER  -