Implementasi Pangkalan Data Fuzzy Model Tahani pada Perekomendasian Pembelian Mobil
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Institusion
Universitas Sumatera Utara
Author
Nursa, Dewi Novia (STUDENT ID : 051401053)
(LECTURER ID : 0017086108)
(LECTURER ID : 0008107507)
(LECTURER ID : 0017086108)
(LECTURER ID : 0008107507)
Subject
Datestamp
2022-12-14 07:03:52
Abstract :
Conventional Database Systems commonly used today can not handle the data that are vague (fuzzy) on the decision-making process. Fuzzy logic is one of the concepts in the SoftComputing that capable of processing data well even there are uncertainty, inaccuracies and partial truths. Fuzzy Database System Tahani model bridging two different concepts of the standard relation that stores data that is certain (crisp) in a conventional database system with queries containing variables that are qualitative, vague and uncertain to obtain useful information to provide recommendations. With this Database System, employees are expected to provide the best recommendations to the buyer in accordance with the criteria desired in a relatively short time.
Conventional Database Systems commonly used today can not handle the data that are vague (fuzzy) on the decision-making process. Fuzzy logic is one of the concepts in the SoftComputing that capable of processing data well even there are uncertainty, inaccuracies and partial truths. Fuzzy Database System Tahani model bridging two different concepts of the standard relation that stores data that is certain (crisp) in a conventional database system with queries containing variables that are qualitative, vague and uncertain to obtain useful information to provide recommendations. With this Database System, employees are expected to provide the best recommendations to the buyer in accordance with the criteria desired in a relatively short time.
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