Abstract:This study aims to find out the strategic priorities of the technical factors to have sustainable low carbon industry. For this purpose, a hybrid multi-criteria decision-making (MCDM) is proposed that contains three different stages. First, the economic criteria required for sustainable development and the technical needs of the low carbon industry are defined by making a comprehensive literature review. After that, economic criteria are weighted by using the fuzzy decision-making trial and evaluation laborato… Show more
“…However, there are also opposite views in the literature regarding this issue. For instance, Meng et al [57]; Shang et al [58] and Pellegrini et al [25] focused on micro wind generation system and Tapia et al [39] considered micro hydropower with respect to the microgeneration alternatives.…”
This study aims to find an appropriate system for microgeneration energy investments and identify optimal renewable energy alternatives for the effectiveness of these projects. In this context, a model is constructed by multi stepwise weight assessment ratio analysis (M-SWARA) and technique for order preference by similarity to ideal solution (TOPSIS) with q-rung orthopair fuzzy sets (q-ROFSs) and golden cut. At the first stage, five different systems are weighted for the effectiveness of the microgeneration energy investments. Secondly, four different renewable energy alternatives are ranked regarding the performance of these projects. In addition, a comparative analysis is also implemented with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The findings are the same in all different fuzzy sets that demonstrates the reliability of the findings. It is determined that grid-connected with battery backup is the most important system choice. On the other hand, solar energy is the most appropriate alternative for microgeneration system investments. Grid-connected system should be implemented for the performance of the microgeneration projects. Hence, providing a sustainable access to the electricity can be possible. Sufficient amount of electricity may not be obtained from wind and solar energy because of the climate changes. In this process, grid-connected system can handle this problem effectively.
“…However, there are also opposite views in the literature regarding this issue. For instance, Meng et al [57]; Shang et al [58] and Pellegrini et al [25] focused on micro wind generation system and Tapia et al [39] considered micro hydropower with respect to the microgeneration alternatives.…”
This study aims to find an appropriate system for microgeneration energy investments and identify optimal renewable energy alternatives for the effectiveness of these projects. In this context, a model is constructed by multi stepwise weight assessment ratio analysis (M-SWARA) and technique for order preference by similarity to ideal solution (TOPSIS) with q-rung orthopair fuzzy sets (q-ROFSs) and golden cut. At the first stage, five different systems are weighted for the effectiveness of the microgeneration energy investments. Secondly, four different renewable energy alternatives are ranked regarding the performance of these projects. In addition, a comparative analysis is also implemented with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The findings are the same in all different fuzzy sets that demonstrates the reliability of the findings. It is determined that grid-connected with battery backup is the most important system choice. On the other hand, solar energy is the most appropriate alternative for microgeneration system investments. Grid-connected system should be implemented for the performance of the microgeneration projects. Hence, providing a sustainable access to the electricity can be possible. Sufficient amount of electricity may not be obtained from wind and solar energy because of the climate changes. In this process, grid-connected system can handle this problem effectively.
“…Bunun ardından ise toplam ilişki matrisi meydana getirilmektedir [50][51][52]. Bu matristeki veriler kullanılarak hem kriter ağırlıkları hem de nedensellik ilişkileri tespit edilebilmektedir [53][54][55][56].…”
Öz: Kamu israfı ülkelerin ekonomisini zora sokan en önemli problemlerden biridir. Bu problem yüzünden ülkeler önemli miktarda bütçe açığı vermektedirler. Yaşanan bütçe açığı da ekonominin daha da kırılgan olmasına sebebiyet vermektedir. Bu çalışmanın amacı kamu israfına neden olan en önemli faktörlerin belirlenmesidir. Bu doğrultuda, öncelikli olarak kapsamlı bir literatür analizi gerçekleştirilmiştir. Bu bağlamda, kamu israfı üzerinde etkili olan temel dört faktör belirlenmiştir. Personelin kapasitesinden yeterli miktarda faydalanılmaması, gerekli denetimlerin yapılmaması, prosedürlerin net olarak belirlenmemesi ve satın alınan ekipmanların verimli olarak kullanılmaması bu süreçte dikkate alınan dört farklı değişkendir. Daha sonra, bu değişkenler arasından hangisinin en önemli olduğunun belirlenmesi hedeflenmiştir. Bu süreçte ise DEMATEL yönteminden faydalanılmıştır. Elde edilen analiz sonuçlarına göre, prosedürlerin net olarak belirlenmemesi durumunun kamu israfındaki en önemli neden olduğu belirlenmiştir. Bu problemin minimize edilebilmesi için öncelikle prosedürlerin net olarak belirlenmesi gerektiği sonucuna varılmıştır. Net olarak belirlenen prosedürler sayesinde kamu personelinin iş tanımları doğru bir şekilde anlaşılmış olacaktır. Bu sayede, herkes sorumluluklarını daha etkin bir şekilde yürütebilecektir. Belirtilen hususa ek olarak, prosedürlerin net olarak belirlenmesi sayesinde kamu binalarında bulunan ekipmanların da daha doğru bir şekilde kullanılabilmesi mümkün olabilecektir.
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