Scopus
YÖKSİS Eşleşti
Performance evaluation of sugar plants by fuzzy technique for order performance by similarity to ideal solution (topsis)
Cybernetics and Systems · Eylül 2012
YÖKSİS Kayıtları
PERFORMANCE EVALUATION OF SUGAR PLANTS BY FUZZY TECHNIQUE FOR ORDER PERFORMANCE BY SIMILARITY TO IDEAL SOLUTION TOPSIS
Cybernetics and Systems · 2012 SCI-Expanded
PROFESÖR MEHMET ÇUNKAŞ →
Makale Bilgileri
DergiCybernetics and Systems
Yayın TarihiEylül 2012
Cilt / Sayfa43 · 529-548
Scopus ID2-s2.0-84867761160
Özet
This study presents the performance evaluation of sugar plants using the technique for order performance by similarity to ideal solution (TOPSIS) under a fuzzy environment. First, the decision criteria used to evaluate the performances are determined, and then the data from financial statements are collected from sugar plants. Accordingly, the ratings of various alternatives under various criteria and the importance weights of various criteria are assessed by evaluators using linguistic terms. The data obtained are converted into a fuzzy triangular number system and then the fuzzy TOPSIS method is applied to make a final decision. According to the closeness coefficients, the sugar plants are ranked from strong to weak. A real case study involving eight evaluation criteria and nine sugar plants assessed by nine evaluators is provided to illustrate the proposed method. The results show that this method is an effective tool for evaluating investment risks based on the heuristic knowledge acquired from experts. © 2012 Copyright Taylor and Francis Group, LLC.
Yazarlar (2)
1
Muhammed Arslan
2
Mehmet Çunkaş
Anahtar Kelimeler
decision-making
fuzzy sets
performance evalution
sugar plants
TOPSIS
Kurumlar
Kırşehir Ahi Evran Üniversitesi
Kirsehir Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
9
Atıf
2
Yazar
5
Anahtar Kelime