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Arinda Hapsari Achnas
Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya
Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Environmental Science Mechanical Engineering

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OPTIMASI FUZZY INFERENCE SYSTEM SUGENO DENGAN ALGORITMA HILL CLIMBING UNTUK PENENTUAN HARGA JUAL RUMAH Arinda Hapsari Achnas; Imam Cholissodin; Wayan Firdaus Mahmudy
Journal of Environmental Engineering and Sustainable Technology Vol 2, No 1 (2015)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (101.587 KB) | DOI: 10.21776/ub.jeest.2015.002.01.5

Abstract

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.
Co-Authors Imam Cholissodin Wayan Firdaus Mahmudy