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.
Keywords: MCDM, intuitionistic fuzzy set, TOPSIS, hybridization
@article{RO_2022__56_3_1877_0,
author = {Kaur, Gurpreet and Majumder, Arunava and Yadav, Rakesh},
title = {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}},
journal = {RAIRO. Operations Research},
pages = {1877--1899},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {3},
doi = {10.1051/ro/2022086},
mrnumber = {4445956},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022086/}
}
TY - JOUR AU - Kaur, Gurpreet AU - Majumder, Arunava AU - Yadav, Rakesh TI - 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 JO - RAIRO. Operations Research PY - 2022 SP - 1877 EP - 1899 VL - 56 IS - 3 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022086/ DO - 10.1051/ro/2022086 LA - en ID - RO_2022__56_3_1877_0 ER -
%0 Journal Article %A Kaur, Gurpreet %A Majumder, Arunava %A Yadav, Rakesh %T 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 %J RAIRO. Operations Research %D 2022 %P 1877-1899 %V 56 %N 3 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022086/ %R 10.1051/ro/2022086 %G en %F RO_2022__56_3_1877_0
Kaur, Gurpreet; Majumder, Arunava; Yadav, Rakesh. 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. RAIRO. Operations Research, Tome 56 (2022) no. 3, pp. 1877-1899. doi: 10.1051/ro/2022086
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