OPTIMASI FUZZY INFERENCE SYSTEM SUGENO DENGAN ALGORITMA HILL CLIMBING UNTUK PENENTUAN HARGA JUAL RUMAH

Arinda Hapsari Achnas (Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya)
Imam Cholissodin (Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya)
Wayan Firdaus Mahmudy (Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya)

Journal of Environmental Engineering and Sustainable Technology
Vol 2, No 1 (2015)

A house selling price can be determined by two methods, financially and technically. Hovewer, the selling price that determined by the methods are often different. It makes the manager having a problem when determining the house final selling price accurately. This paper proposes Sugeno Fuzzy Inference System (FIS) to calculate an accurate price. To get better result, Hill Climbing Algorithms is used to optimize the membership function of Sugeno FIS. A series of computational experimens prove that the approach is effective. Hill Climbing Algorithms can improve the accuracy of results.