dc.contributor.author |
Khan,Salman A. |
|
dc.date.accessioned |
2018-07-31T08:46:58Z |
|
dc.date.available |
2018-07-31T08:46:58Z |
|
dc.date.issued |
2016 |
|
dc.identifier.issn |
2210-1519 |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/1772 |
|
dc.description.abstract |
Wind energy has emerged as a potential alternative to traditional sources of fuel. One key factor that contributes to efficient harnessing of wind energy from a wind farm is the type of turbines used in that farm. However, selection of a specific wind turbine type is not a simple task due to several decision criteria, such as turbine's power rating, and height of tower on which a turbine is mounted, among others. This selection process is further complicated by the presence of conflicts between the decision criteria. Therefore, a decision is desired that provides the best balance between all selection criteria. Considering the complexities involved in the decision-making process, this paper presents a fuzzy logic based decision-making approach for selection of the most appropriate wind turbine for a specific wind farm using fuzzy Einstein operator. The proposed approach is applied to data collected from a potential site. Results indicate that the proposed approach was effective in finding the optimal turbine from a set of available turbines |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.rights |
Attribution-NonCommercial-ShareAlike 4.0 International |
* |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
* |
dc.subject |
Wind turbine |
|
dc.subject |
Automated decision-making |
|
dc.subject |
Fuzzy logic |
|
dc.subject |
Einstein Operator |
|
dc.title |
Application of Fuzzy Einstein Operator to Multi-Criteria Decision-Making for Selection of Wind Turbine Type with Nominal Power of 2000 KW |
en_US |
dc.type |
Article |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/IJCNT/040206 |
|
dc.volume |
04 |
|
dc.issue |
02 |
|
dc.source.title |
International Journal of Computing and Network Technology |
|
dc.abbreviatedsourcetitle |
IJCNT |
|