International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 1149 - 1167

Analysis of Solar Energy Generation Capacity Using Hesitant Fuzzy Cognitive Maps

Authors
Veysel Çoban1, *, cobanv@itu.edu.tr, Sezi Çevik Onar2, cevikse@itu.edu.tr
*Corresponding author. Tel: +90 212 2931300 (2073); e-mail address: cobanv@itu.edu.tr (V.Çoban).
Corresponding Author
Veysel Çobancobanv@itu.edu.tr
Received 7 February 2017, Accepted 21 June 2017, Available Online 6 July 2017.
DOI
10.2991/ijcis.2017.10.1.76How to use a DOI?
Keywords
Fuzzy cognitive maps; hesitant fuzzy sets; renewable energy; solar energy generation
Abstract

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.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
1149 - 1167
Publication Date
2017/07/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.76How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Veysel Çoban
AU  - Sezi Çevik Onar
PY  - 2017
DA  - 2017/07/06
TI  - Analysis of Solar Energy Generation Capacity Using Hesitant Fuzzy Cognitive Maps
JO  - International Journal of Computational Intelligence Systems
SP  - 1149
EP  - 1167
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.76
DO  - 10.2991/ijcis.2017.10.1.76
ID  - Çoban2017
ER  -