Single Valued Neutrosophic Set with Multi-Criteria Decision Making Methodology for Wind Turbine Development

Abstract

Taller hubs and longer blades make wind turbines more practical and economical than their predecessors because they lower the energy production cost per unit. Nonetheless, these buildings stand out more in the environment because of their larger scale. As wind turbine exposure increases, communities become more concerned about the environment and economy. Thus, a conflict arises between the benefits of increased visibility and reduced wind energy prices as wind turbines become bigger. Most MCDM applications emphasize the significance of wind turbine visibility, which they define as the separation from populated areas, coastal regions, etc. The increased distance from a possible turbine location lessens the influence of visibility, or vice versa. This supposition contributes to the MCDM's visible effects in part. On the other hand, determining visibility may provide more accurate and practical geographic data to be used as a determining factor. This study used an MCDM methodology to show the relationships between wind turbine criteria. The DEMATEL method is an MCDM method used to show wind turbine weights. The DEMATEL method shows the relationships between criteria. There are 12 criteria used in this study. The DEMATEL method was integrated with the single-valued neutrosophic set (SVNS) to overcome uncertainty in the evaluation process.