2020
DOI: 10.15837/ijccc.2019.6.3675
|View full text |Cite
|
Sign up to set email alerts
|

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) whi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 16 publications
(10 citation statements)
references
References 40 publications
0
10
0
Order By: Relevance
“…These methods can also be considered for the future studies of the renewable energy projects. For instance, the best-worst method (BWM) can be considered for weighting the indicators [49]. In addition to this methodology, simultaneous evaluation of criteria and alternatives (SECA) technique can also be used for this purpose [50].…”
Section: New Mcdm Approachesmentioning
confidence: 99%
“…These methods can also be considered for the future studies of the renewable energy projects. For instance, the best-worst method (BWM) can be considered for weighting the indicators [49]. In addition to this methodology, simultaneous evaluation of criteria and alternatives (SECA) technique can also be used for this purpose [50].…”
Section: New Mcdm Approachesmentioning
confidence: 99%
“…Hierarchical fuzzy best-worst method Rezaei (2015) proposed the best-worst method as an MCDM technique used to determine the weights of criteria via pairwise comparisons of the best criterion relative to all the other criteria and all the criteria relative to the worst criterion (Bonyani and Alimohammadlou 2019). Immediate extensions were developed by Tabatabaei et al (2019), who introduced the Hierarchical BWM, and Guo and Zhao (2017), who proposed a fuzzy version of the BWM. The HBWM allows considering the weights of the criteria and sub-criteria within a simultaneous programming model so as to calculate the global weights of the set of sub-criteria (Ren and Toniolo 2021).…”
Section: mentioning
confidence: 99%
“…The following project executives are also required to carry out a feasibility report and assessment in the EIA program [14]. (1) Petrochemical plants on any scale (2) The petrochemical refinery on any scale (3) The power plant with a production capacity of more than 100 Megawatt (4) Steel industries (5) Large dams and aquatic structures or a lateral structure larger than 40 hectares or a lake area of more than 400 hectares (6) Irrigation projects larger than 5000 hectares (7) Tailing dam of any size (8) Industrial estates over 100 hectares (9) Airport with a runway length greater than 2000 meters (10) Agro-industrial units over 5,000 hectares (11) Large industrial slaughterhouses (12) Landfills for provincial and city centers larger than 200,000 inhabitants and new cities (13) Landfill Centers (Compost Factory etc.) (14) Oil and gas pipeline designs, oil rigs, oil storage sites, forestry plans, highways, railways, tourism projects (15) Related industrial and service plans (16) Construction workplaces larger than 10,000 square meters (17) Land reclamation (18) Accommodation, development of river basins and rural roads.…”
Section: Environmental Impact Assessmentmentioning
confidence: 99%
“…The CCR model assumes constant scaling of outputs. B) Variable Scale Returns: That is, any multiple inputs can produce the same multiple outputs, less or more of it in the outputs [8,9].…”
Section: Introductionmentioning
confidence: 99%