Journal of Intelligent Decision Support System (IDSS)
Vol 6 No 3 (2023): September : Intelligent Decision Support System (IDSS)

Comparison of three fuzzy logic algorithm methods for cellular selection

Gunawan Gunawan (STMIK YMI Tegal , Kota Tegal, Indonesia)
Wresti Andriani (STMIK YMI Tegal , Kota Tegal, Indonesia)
Sawaviyya Anandianskha (STMIK YMI Tegal , Kota Tegal, Indonesia)



Article Info

Publish Date
24 Aug 2023

Abstract

Many cell phone types are on the market today, increasingly making users feel confused and confused about choosing the cell that suits their needs. As one of the most essential needs at this time, users must be able to match their cellular needs with their income. Many smartphone products are offered. To help users in this study using three methods from the Fuzzy Logic algorithm for Decision Support Systems in choosing cellular according to their needs and desires; from the research that has been done, it is found that using the Fuzzy Tsukamoto method the accuracy is better than Mamdani which is equal to 0.02135, Mamdani is as large as 0.0643, while Sugeno is 0.1007. The cellular chosen is the Samsung A73 brand.

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Journal Info

Abbrev

jidss

Publisher

Subject

Computer Science & IT

Description

An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques. Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent ...