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Title: Hierarchical Decision-making using a New Mathematical Model based on the Best-worst Method
Authors: Tabatabaei, Mohammad Hashemi
Amiri, Maghsoud
Ghahremanloo, Mohammad
Zavadskas, Edmundas Kazimieras
Antuchevičienė, Jurgita
Keywords: decision model
MCDM
best-worst method
hierarchical decisionmaking
pairwise comparison
Issue Date: 2019
Publisher: Agora University Press
Citation: Tabatabaei, M., Amiri, M., Ghahremanloo, M., Keshavarz-Ghorabaee, M., Zavadskas, E., & Antucheviciene, J. (2020). Hierarchical Decision-making using a New Mathematical Model based on the Best-worst Method. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 14(6), 710-725. doi:10.15837/ijccc.2019.6.3675
Series/Report no.: 14;6
Abstract: Decision-making processes in different organizations often have a hierarchical and multilevel structure with various criteria and sub-criteria. The application of hierarchical decision-making has been increased in recent years in many different areas. Researchers have used different hierarchical decision-making methods through mathematical modeling. The best-worst method (BWM) is a multi-criteria evaluation methodology based on pairwise comparisons. In this paper, we introduce a new hierarchical BWM (HBWM) which consists of seven steps. In this new approach, the weights of the criteria and sub-criteria are obtained by using a novel integrated mathematical model. To analyze the proposed model, two numerical examples are provided. To show the performance of the introduced approach, a comparison is also made between the results of the HBWM and BWM methodologies. The analysis demonstrates that HBWM can effectively determine the weights of criteria and sub-criteria through an integrated model.
URI: http://dspace.vgtu.lt/handle/1/4183
ISSN: 1841-9844
1841-9836 ISSN-L
Appears in Collections:Moksliniai straipsniai / Research articles

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