A hybrid fuzzy MCDM approach for prioritizing the solutions of resource recovery business model adoption to overcome its barriers in emerging economies
The resource recovery business model (RRBM) involves producing and utilizing secondary
raw materials from waste streams. Overcoming the barriers small and medium-sized firms …
raw materials from waste streams. Overcoming the barriers small and medium-sized firms …
Exploring factors affecting airport selection during the COVID-19 pandemic from air cargo carriers' perspective through the triangular fuzzy Dombi-Bonferroni BWM …
The COVID-19 pandemic has created unexpected demand for air cargo in terms of rapid
mobility of critical basic needs. Air cargo carriers aim to maximize their profits by taking …
mobility of critical basic needs. Air cargo carriers aim to maximize their profits by taking …
Assessment of zero-carbon measures for sustainable transportation in smart cities: a CRITIC-MARCOS framework based on Q-rung fuzzy preferences
Sustainable transportation is an emerging field of research that primarily focuses on eco-
friendliness. Smart cities actively attempt to adopt sustainable practices for reducing carbon …
friendliness. Smart cities actively attempt to adopt sustainable practices for reducing carbon …
Evaluation of cryptocurrencies for investment decisions in the era of Industry 4.0: a borda count-based intuitionistic fuzzy set extensions EDAS-MAIRCA-MARCOS …
Blockchain technologies, which form the basis of Industry 4.0, paved the way for
cryptocurrencies to emerge as technological innovation in the technology age. Recently …
cryptocurrencies to emerge as technological innovation in the technology age. Recently …
A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye
Crypto assets have become increasingly popular in recent years due to their many
advantages, such as low transaction costs and investment opportunities. The performance of …
advantages, such as low transaction costs and investment opportunities. The performance of …
An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries' …
Abstract Lithium-ion battery (LiB), a leading residual energy resource for electric vehicles
(EVs), involves a market presenting exponential growth with increasing global impetus …
(EVs), involves a market presenting exponential growth with increasing global impetus …
Exploring the Challenges of Industry 4.0 Adoption in the FMCG Sector: Implications for Resilient Supply Chain in Emerging Economy
Background: Fast-moving consumer goods (FMCG) supply chains are experiencing various
challenges due to the interactions between consumers and decision-makers during physical …
challenges due to the interactions between consumers and decision-makers during physical …
Investigating the energy security performance, productivity, and economic growth for the EU
F Gökgöz, E Yalçın - Environmental Progress & Sustainable …, 2023 - Wiley Online Library
Energy is one of the key elements of economies. The maintenance of daily economic
activities would not be possible without assurance of energy security, which is also a critical …
activities would not be possible without assurance of energy security, which is also a critical …
Prioritizing causes and drivers of retail food waste through a fuzzy Dombi-Bonferroni operators-based best–worst approach: an emerging economy perspective
The food waste hierarchy offers that prevention of the waste is the best solution to deal with
this complex issue. Herein, to take a preventive action against food waste, this paper …
this complex issue. Herein, to take a preventive action against food waste, this paper …
[HTML][HTML] A state-of-the-art review of the BWM method and future research agenda
F Ecer - Technological and Economic Development of …, 2024 - aviation.vgtu.lt
The superiority of BWM over other weighting methods for obtaining the weight values of the
attributes is that it achieves high-confidence results with a reasonable number of pairwise …
attributes is that it achieves high-confidence results with a reasonable number of pairwise …