Quick Search Author Keyword(s) Year

Information

Journal
Visitor
Most Popular Post
Popular Index
User Login


Jurnal
Volume 07 Nomor 2

Publikasi Dosen
SISTEM REKOMENDASI PEMBELIAN MOBIL BERBASIS METODE NEURO-FUZZY CLASSIFICATION
Created by : Rico Pujianto, Stefanus Santosa, Romi Satria Wahono
Keyword : Fuzzy logic, Artificial Nerural Network, Expert, Consumers, Fuzzy rule, Neuro-fuzzy, Classifying, Ne
Type : Text
Format : pdf
Volume : Jurnal Teknologi Informasi, Volume 07 Nomor 2, Oktober 2011, ISSN 1414-9999
This research advantageous to build a recommendation system in purchase a car. This system aims to help people who are not experts in the automotive or car. When they tried to buy a car, they can use these recommendations system like if they ask an expert or someone who knows more about cars. Fuzzy logic can facilitate consumers in choosing a car in match with the criteria they want, because the key word to searching by using fuzzy mambership are frequently used in everyday conversations. To overcome the lack of an expert who determines fuzzy rules can be used combined methods of fuzzy logic and artificial neural network or often called neuro-fuzzy method. In this research, by classifying car on the market by using neuro-fuzzy method, known as neuro-fuzzy classification. From the results of classification of cars will be built recommendation system to facilitate consumers to buy car if they are not experts in choosing a car, so they can determine the desired vehicle in accordance with the criteria they want.