Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal International Journal of Computing and Informatics (IJCANDI)
Hairunnisa Hairunnisa
Mulawarman University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Comparative Analysis of Tsukamoto and Sugeno Fuzzy Methods For Procurement Optimization Fahrul Agus; Hairunnisa Hairunnisa; Septya Maharani
International Journal of Computing and Informatics (IJCANDI) Vol 1, No 4 (2016): November 2016
Publisher : International Journal of Computing and Informatics (IJCANDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19732/10.19732/vol1122016

Abstract

This paper aims to conduct a comparative analysis of appropriate methods between Tsukamoto and Sugeno fuzzy method in solving optimization problems approximate amount of procurement. The analysis is done by comparing the average value of the relative error in the calculation results forecasts procurement of data procurement of goods belonging to a company. The results of the analysis is implemented in an application program and obtained value of the average relative error Tsukamoto method by 39.67% and amounted to 50.39 % of Sugeno method. Based on these results, Tsukamoto method is more appropriate and recommended to solve optimization of the approximate number of procurement.
Co-Authors Fahrul Agus Septya Maharani, Septya