Name
Title | ||
|---|---|---|
Hierarchical Decision-Making Using A New Mathematical Model Based On The Best-Worst Method |
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.15837/ijccc.2019.6.3675 | INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL |
Keywords | Field | DocType |
decision model, MCDM, best-worst method, hierarchical decision-making, pairwise comparison | Computer science,Artificial intelligence,Best worst method,Machine learning | Journal |
Volume | Issue | ISSN |
14 | 6 | 1841-9836 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Hashemi Tabatabaei | 1 | 0 | 0.34 |
| Maghsoud Amiri | 2 | 1 | 1.42 |
| Mohammad Ghahremanloo | 3 | 0 | 0.68 |
| Mehdi Keshavarz-Ghorabaee | 4 | 0 | 0.34 |
| Edmundas Kazimieras Zavadskas | 5 | 500 | 49.88 |
| Jurgita Antucheviciene | 6 | 121 | 13.99 |