Analysis of Solar Energy Generation Capacity Using Hesitant Fuzzy Cognitive Maps

Veysel Çoban*, Sezi Çevik Onar

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9 Atıf (Scopus)

Özet

Solar energy is an important and reliable source of energy. Better understanding the concepts and relationships of the factors that affect solar energy generation capacity can enhance the usage of solar energy. This understanding can lead investors and governors in their solar power investments. However, solar power generation process is complicated, and the relations among the factors are vague and hesitant. In this paper, a hesitant fuzzy cognitive map for solar energy generation is developed and used for modeling and analyzing the ambiguous relations. The concepts and the relationships among them are defined by using experts’ opinions. Different scenarios are formed and evaluated with the proposed model.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)1149-1167
Sayfa sayısı19
DergiInternational Journal of Computational Intelligence Systems
Hacim10
Basın numarası1
DOI'lar
Yayın durumuYayınlandı - Oca 2017

Bibliyografik not

Publisher Copyright:
© 2017, the Authors. Published by Atlantis Press.

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