Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models

Bhuiyan, Miraj Ahmed; Dınçer, Hasan; Yüksel, Serhat; Mikhaylov, Alexey; Danish, Mir Sayed Shah; Pintér, Gábor; Uyeh, Daniel Dooyum; Stepanova, Diana

doi:10.1016/j.egyr.2021.11.278

Cited by 129 publications

(24 citation statements)

References 52 publications

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“…Social media websites have been considered a pivotal tool for building a renewable and interactive system. This coincides with developments in the communication environment in which the individual is present within the social pattern, and their depth of impact has been demonstrated, particularly after the repercussions of the spread of the COVID-19 pandemic [34][35][36].…”

Section: Resultssupporting

confidence: 53%

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A Review of Social Media Website Users’ Interaction Paths with Governmental Accounts during the COVID-19 Pandemic

et al. 2022

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This study aims to describe and analyze the paths of social media website users’ interaction with the content of government accounts during the COVID-19 pandemic. The objectives of the study are to describe the roles of government accounts as a tool to support the concept of health communication among users of social media websites and analyze the targeted and untargeted roles that have emerged in this context, describe the roles of government accounts as a tool of government communication and analyze how government institutions employed them during the COVID-19 pandemic, and describe the roles of social media websites as a tool to address the problems and challenges created by the social spacing procedures and solutions provided by these websites to deal with these challenges. This study surveys a sample of previous studies conducted on the roles of government accounts on social media websites during the COVID-19 pandemic. The tools of this study are both analytical and comparative as they analyze and compare the results of previous studies on the interaction paths of internet users. The results indicate that social media websites have been considered a pivotal tool for building a renewable and interactive system. This coincides with developments in the communication environment in which the individual is present within the social pattern, and its depth of impact has been demonstrated, particularly after the repercussions of the spread of the COVID-19 pandemic.

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Section: Resultssupporting

confidence: 53%

“…Further, developing mandatory and complementary digital skills for teachers and students is also crucial. There is also an urgent need to support school management with adequate funding to promote policies toward digitalization [34][35][36].…”

Section: Resultsmentioning

confidence: 99%

A Review of Social Media Website Users’ Interaction Paths with Governmental Accounts during the COVID-19 Pandemic

et al. 2022

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“…Moreover, the SWARA method is used for weighting items to increase objectivity. Additionally, because q-ROFSs are the extension of both IFSs and PFSs, they become helpful to minimize uncertainty in this respect [21][22][23]. The TOPSIS method also has some benefits over similar techniques.…”

Section: The Purpose and Novelty Of This Studymentioning

confidence: 99%

Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

et al. 2022

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Investments in microgeneration technologies help to boost the usage of clean energy while reducing pollution. However, selecting the appropriate investment remains the most critical phase in developing these technologies. This study aims to design a multi-criteria decision-making method (MCDM) to evaluate investment alternatives for microgeneration energy technologies. The proposed MCDM is based on a Multi Stepwise Weight Assessment Ratio Analysis (M-SWARA), to define the relative importance of the factors. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and q-Rung Orthopair Fuzzy Soft Sets (q-ROFSs) are used to rank investment alternatives. Calculations were also made with Intuitionistic Fuzzy Sets (IFSs) and Pythagorean Fuzzy Sets (PFSs). For analysis, five evaluation criteria were selected based on the literature: frequency of maintenance, ease of installation, environmental adaptation, transmission technologies, and efficiency of cost. Similarly, six alternatives for microgeneration technology investments were selected: ground source heat pumps, micro hydroelectric power, micro combined heat and power, micro bioelectrochemical fuel cell systems, small-scale wind turbines, and photovoltaic systems. The results showed that cost efficiency was the most significant factor in the effectiveness of microgeneration energy investments, and the photovoltaic system was the best alternative to increase microgeneration energy technology investment performance. Furthermore, the results were the same for the analyses made with IFSs and PFSs, demonstrating the reliability of the proposed method. Therefore, investors in microgeneration technologies should prioritize photovoltaic systems. This conclusion is supported by the fact that photovoltaic is a renewable energy source that has witnessed the most technological improvements and cost reductions over the last decade.

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“…Moreover, q-ROFSs are generated by integrating IFS and PFS. They also consider a wider space in decision-making process to reach more effective solutions while comparing other models generated with IFS or PFS [4]. Moreover, the main reason of selecting the TOPSIS is its ability to rank the alternatives considering both negative and positive solutions [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Environmental Priorities for Green Project Investments Using an Integrated q-Rung Orthopair Fuzzy Modeling

et al. 2022

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Green energy projects contribute to sustainable economic development of countries with the employment of environmentally friendly energy production strategies. However, environmental priorities should be examined for this situation. Therefore, priority analysis should be executed for the environmental issues while implementing green investment projects. Accordingly, this study aims at proposing a unique decision-making model based on orthopair fuzzy sets and the golden cut degrees for the environmental priorities of green project investments. The main novelty of the study stems from its proposed integrated model by equipping the Multi-SWARA, and TOPSIS based on the q-ROFSs technique with the golden cut. A set of criteria is identified for measuring the green projects' environmental priorities while several project alternatives are also determined with the supporting literature. Appropriately, the extensions of Multi-SWARA and TOPSIS methods have been applied for weighting and ranking the factors, respectively, in the integrated approach. Additionally, a comparative evaluation is performed with the help of VIKOR method to rank the alternatives. Besides, the sensitivity analysis is applied to illustrate the coherency of the weighting results in the decision-making approach. Accordingly, 5 cases are considered to measure the effects of changing weight results. It is defined that this model is coherent and could be extended for further studies. It is concluded that the reduction of emissions is the most essential item for the environmental priorities of green project investments. Pollution control, waste management and eco-friendly transportation activities are the most critical alternatives. Therefore, this study recommends that investors of green projects should prioritize the strategies of minimizing carbon emissions problem. In this context, investing in renewable energy technologies will help green project investors solve this problem.

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Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models

Cited by 129 publications

References 52 publications

A Review of Social Media Website Users’ Interaction Paths with Governmental Accounts during the COVID-19 Pandemic

A Review of Social Media Website Users’ Interaction Paths with Governmental Accounts during the COVID-19 Pandemic

Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

Analysis of Environmental Priorities for Green Project Investments Using an Integrated q-Rung Orthopair Fuzzy Modeling

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