A NEW OBJECTIVE METHOD FOR DETERMINING CRITERIA WEIGHTS IN MCDM MODELS - LOGSTA
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Daaam International Vienna
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Determining criteria weights is the crucial part of the MCDM process as the weights significantly affect the ranking results of alternatives. Therefore, various techniques have been created to determine the weights of criteria, which are grouped into subjective, objective, and hybrid techniques. In this study, a new method based on LOGarithmic normalization and STAndard deviation (LOGSTA) is developed to determine objective criteria weights. The method has been described through two examples, one with square matrix (six alternatives and six criteria) and the second with seven alternatives and five criteria. The outcomes of the LOGSTA technique are compared with the Entropy, CRITIC, MEREC techniques to present the validity of results. LOGSTA shows various ranks although in some cases, it is fully correlated, which has been provided with SCC and WS correlation coefficients. The comparative analysis shows that the LOGSTA is efficient to determine objective weights of criteria. This method allows consideration of both types of criteria, a separate normalization process for benefit and cost criteria, and a different normalization procedure compared to other methods.
Açıklama
Anahtar Kelimeler
LOGSTA, MCDM, Criteria Weights, Objective Method
Kaynak
International Journal of Simulation Modelling
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
24
Sayı
4
