DECISION SUPPORT SYSTEM SELECTION USED CAR USING THE FUZZY LOGIC METHOD OF TAHANI MODEL

Rizaldi Rizaldi, Dewi Anggraeni

Abstract


Yus Motor showroom does not provide a system to accommodate used car specification data based on consumer desires. The owner or sales only explains these specifications by showing used car data on a sheet of paper. One in choosing a used car will certainly result in disappointment for consumers. Therefore, we need a method capable of analyzing used car specification data based on consumer desires. One such method is the Resistant Fuzzy Model Database. This method was chosen because it has the ability to provide firmness (crisp) on faint (gray) data, namely 1-0 (fuzzy logic). That is, 1 is a true value and can be used as a basis for consideration in making decisions, while 0 is not true and absolutely not worthy of consideration in making decisions. Furthermore, the end of the process of this method is a ranking (fire strength) which shows that the highest value is the most recommended product. This study aims to help the showroom owner Yus Motor and sales decide the choice of used cars quickly and precisely based on consumer desires using the fuzzy database method Tahani model.


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References


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DOI: https://doi.org/10.33330/icossit.v1i1.729

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