Hierarchical Decision-making using a New Mathematical Model based on the Best-worst Method

Mohammad Hashemi Tabatabaei, Maghsoud Amiri, Mohammad Ghahremanloo, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene

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.

Keywords


decision model, MCDM, best-worst method, hierarchical decisionmaking, pairwise comparison

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References


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DOI: https://doi.org/10.15837/ijccc.2019.6.3675

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