A systematic review of analytic hierarchy process applications to solve transportation problems: from 2003 to 2022
Transportation improvements affect technological and socio-economic development, and
several scholars have researched various transportation problems. The current study aims …
several scholars have researched various transportation problems. The current study aims …
Applications of emerging technologies in logistics sector for achieving circular economy goals during COVID 19 pandemic: analysis of critical success factors
During COVID-19 pandemic, the logistics sector has witnessed supply chain disruptions all
across the globe. Digitalisation and sustainable solutions have become the priority for the …
across the globe. Digitalisation and sustainable solutions have become the priority for the …
A novel LOPCOW‐DOBI multi‐criteria sustainability performance assessment methodology: An application in developing country banking sector
Banks do not directly contribute to sustainable development, yet they indirectly play an
undeniable role. The sustainability of the banking sector, which is the heart of finance, is …
undeniable role. The sustainability of the banking sector, which is the heart of finance, is …
Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods
Z Shang, X Yang, D Barnes, C Wu - Expert Systems with Applications, 2022 - Elsevier
With the increasing awareness of environmental protection and social responsibility,
sustainable supplier selection (SSS) has been receiving more and more attention. However …
sustainable supplier selection (SSS) has been receiving more and more attention. However …
Improved DEMATEL methodology for effective safety management decision-making
Decision-making is a critical step in safety and risk analysis. Decision-making is conducted
according to the different sources of information often elicited from filed matter and subject …
according to the different sources of information often elicited from filed matter and subject …
Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making
J Dong, S Wan, SM Chen - Information Sciences, 2021 - Elsevier
In this paper, we propose a new fuzzy best-worst method (BWM) based on triangular fuzzy
numbers for multi-criteria decision-making (MCDM). Aimed at the Best-to-Others vector and …
numbers for multi-criteria decision-making (MCDM). Aimed at the Best-to-Others vector and …
Bayesian best-worst method: A probabilistic group decision making model
M Mohammadi, J Rezaei - Omega, 2020 - Elsevier
The best-worst method (BWM) is a multi-criteria decision-making method which finds the
optimal weights of a set of criteria based on the preferences of only one decision-maker …
optimal weights of a set of criteria based on the preferences of only one decision-maker …
Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS
Healthcare waste generated by medical activities in big cities includes a vast spectrum of
materials, from blood, body parts, medical devices, pharmaceuticals, chemicals, diagnostic …
materials, from blood, body parts, medical devices, pharmaceuticals, chemicals, diagnostic …
[HTML][HTML] Consistency issues in the best worst method: Measurements and thresholds
Abstract The Best-Worst Method (BWM) uses ratios of the relative importance of criteria in
pairs based on the assessment done by decision-makers. When a decision-maker provides …
pairs based on the assessment done by decision-makers. When a decision-maker provides …
Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis
The use of hybrid renewable energy system (HRES) holds great promise for sustainable
electrification and support countries reaching their energy access goals. The site selection …
electrification and support countries reaching their energy access goals. The site selection …