Dalam suatu sistem berbasis pengetahuan yang disusun oleh sebuah aturan biasa disebut Rule-based System (RBS) / sistem pakar. Pada dasarnya sebuah sistem pakar tradisional masih menggunakan metode forward dan backward selama proses inferencing/penarikan kesimpulan sehingga mendapatkan beberapa jawaban dalam konteks yang spesifik.

Ripple Down Rules (RDR) merupakan suatu metode pendekatan yang diangkat pada tulisan ini, metode ini memaksa interaksi antara sebuah pakar dan sebuah shell untuk mengakuisisi hanya pada pengetahuan yang benar. Dalam menunjang metode ini pun digunakan sebuah metode lainnya yaitu Variable-centered Intelligent Rule System, metode ini pada prinsipnya menggabungkan 2 metode yang sudah ada yaitu RBS dan RDR. VCIRS memungkinkan pengguna memperbaiki node/rule yang telah ada pada KB (Knowledge Base).

Konsep fuzzy dalam metode ini digunakan untuk memodelkan bilangan-bilangan tidak pasti pada metode VCIRS, dengen fuzzy set dan fuzzy rule inilah angka-angka crisp  dapat direpresantasikan menjadi sebuah kesimpulan dengan bantuan sebuah operator fuzzy. Pada tulisan ini hasil yang  didapatkan dari bantuan fuzzy logic ini dirubah menghasilkan sebuah presentase keyakinan seorang mahasiswa cocok masuk ke suatu jurusan berdasarkan hasil ujian calon mahasiswa, pekerjaan masa depan hingga ketertarikannya pada suatu jurusan.

Sumber :

Irfan Subakti dan Oky Wijayanto
Jurusan Teknik Informatika
Fakultas Teknologi Informasi
Institut Teknologi Sepuluh November (ITS), Surabaya

1,326 thoughts on “PENERAPAN KONSEP FUZZY DALAM VARIABLE-CENTERED INTELLIGENT RULE SYSTEM (Studi Kasus: Pemilihan Jurusan di Chinese University of Hongkong)

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