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Title: WEBIRA - comparative analysis of weight balancing method
Authors: Krylovas, Aleksandras
Kosareva, Natalja
Zavadskas, Edmundas Kazimieras
Keywords: WEBIRA
multi-attribute decision making (MADM)
Issue Date: 2018
Publisher: Agora University Editing House
Citation: Krylovas, A.; Kosareva, N.; Zavadskas, E. K. 2018. WEBIRA - comparative analysis of weight balancing method, International Journal of Computers, Communications & Control (IJCCC) 12(2): 238-253
Series/Report no.: 12;2
Abstract: The attributes weight establishing problem is one of the most important MCDM tasks. This study summarizes weight determining approach which is called WEBIRA (WEight Balancing Indicator Ranks Accordance). This method requires to solve complicated optimization problem and its application is possible by carrying out non trivial calculations. The efficiency of WEBIRA and other MCDM methods – SAW (Simple Additive Weighting) and EMDCW (Entropy Method for Determining the Criterion Weight) compared for 4 different data normalization methods. The re-sults of the study revealed that more sophisticated WEBIRA method is significantly efficient for all considered numbers of alternatives. Efficiency of all methods decreases with increasing number of alternatives, but WEBIRA is still applicable, while appli-cation of other methods is impossible as the number of alternatives is greater than 11. WEBIRA is the least affected by the data normalization, while EMDCW is the most affected method.
ISSN: 1841-9836
Appears in Collections:Moksliniai straipsniai / Research articles

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