Data-Based Fuzzy TOPSIS for Alternative Ranking

*Victor Utomo -  , Indonesia
Rahmat Gernowo -  Universitas Diponegoro, Indonesia
Aris Sugiharto -  Universitas Diponegoro, Indonesia
Published: 6 Jul 2013.
Open Access
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Section: Research Articles
Language: ID
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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

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