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Perbandingan Algoritma Reduksi Tipe pada Fuzzy Tipe-2 Humaira, Mira
MATICS Vol 1, No 1 (2014): Matics
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.594 KB) | DOI: 10.18860/mat.v1i1.2642

Abstract

Type-2 Fuzzy became populer because it’s capability handles uncertainty more better. It effects computational cost. This research insurance that there is algorithm having good performance ie. EIASC. It has short time if count of N is small.   Index Terms—EIASC Algorithm, Type-2 Fuzzy