Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURNAL SISTEM INFORMASI BISNIS

Data-Based Fuzzy TOPSIS for Alternative Ranking Utomo, Victor; Gernowo, Rahmat; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.098 KB) | DOI: 10.21456/vol3iss2pp104-108

Abstract

Technique for Order Preference by Similarity (TOPSIS) solves multi-criteria decision making (MCDM) by ranking the alternatives. When the attributes are not deterministic, a Fuzzy TOPSIS method is applied. The traditional fuzzy TOPSIS depends on decision makers to determine alternative’s value which considered subjective. A new method named data-based fuzzy TOPSIS proposed to diminish the dependency to decision maker. The proposed algorithm use data to determine alternative’s values objectively. Subtractive Clustering (SC) and Fuzzy C-Mean (FCM) selected to transform crisp value data to fuzzy value data. Some modification applied to SC and FCM to obtain fuzzy triangular value needed by fuzzy TOPSIS.  Keyword : Index Terms—Decision support systems,  fuzzy TOPSIS, fuzzy C-mean, subtractive clustering