Volume 56, Number 3, May-June 2022
|Page(s)||1877 - 1899|
|Published online||30 June 2022|
An efficient generalized fuzzy TOPSIS algorithm for the selection of the hybrid energy resources: A comparative study between single and hybrid energy plant installation in Turkey
Department of Mathematics, Lovely Professional University Phagwara, Punjab 144 411, India
* Corresponding author: firstname.lastname@example.org, email@example.com
Accepted: 26 May 2022
This paper develops an efficient algorithm for selecting the most suitable and appropriate hybridized energy power plant using “fuzzy multi-criteria decision-making” (MCDM) in Turkey. This research compares the findings of existing studies with energy hybridization. The study investigated the method of suitable location selection to install renewable energy power plants. Installation of an energy power plant is quite a difficult task as there are many factors such as availability of resources and environmental or social factors that significantly impact determining the best energy resource plant to be implemented. The purpose of this research is to extend the single-resource plant installation policy to multi-resource (hybridized) energy usage. An efficient algorithm is developed with the help of combination theory and combined fuzzy TOPSIS method to choose the best suitable alternative out of all possible single and hybrid energy resources in Turkey. All criteria, alternatives, and numerical values are chosen identically with the previous literature to compare the efficiency of the developed method. The result obtains the decision for the best hybridization along with the most suitable combination of various energy resources and sMAPE analysis. The results also supports the real situation of energy resources in Turkey.
Mathematics Subject Classification: 03B52 / 90B50
Key words: MCDM / intuitionistic fuzzy set / TOPSIS / hybridization
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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