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Fusion: Practice and Applications
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A Novel Fusion Method for Enhanced Multi-Criteria Decision-Making in Energy Management: Integrating Analytic Hierarchy Process

  Murodjon Sultanov 1 * ,   Iroda Abdullayeva 2 ,   Botirjon Karimov 3

1  Tashkent State University of Economics, Tashkent city, Uzbekistan
    (murodkhan.sultanov.1987@gmail.com)

2  Tashkent State University of Economics, Tashkent city, Uzbekistan
    (i.abdullayeva74@gmail.com)

3  Tashkent State University of Economics, Tashkent city, Uzbekistan
    (botir.karim@gmail.com)

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Doi   :   https://doi.org/10.54216/FPA.150225

Received: August 26, 2023 Revised: December 24, 2023 Accepted: April 21, 2024

Abstract :

This paper suggests a novel fusion approach of combining Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to enhance multi-criteria decision-making for energy management. In this way, by integrating the two powerful methodologies, the fusion approach is enabled that allows for dealing with the complex and highly dynamic character of energy management decisions for which there is required the careful consideration of many conflicting criteria. The method uses A to derive weightings for each decision criterion via AHP based on expert judgments, ensuring all relevant factors are systematically considered proportionately. Subsequently, TOPSIS is applied to evaluate and rank the alternatives such that the most effective energy solutions close to the ideal solution are identified. This integration of AHP with TOPSIS leads to comprehensive analysis that draws both the strengths of these techniques and provides a powerful tool to make informed and balanced decisions in the energy sector. The effectiveness of this fusion method, when applied, could then lead to the attainment of subtler findings and dependable suggestions, making it a beneficial contribution to this field of energy management.

Keywords :

 fusion method; data mining methods; hierarchy analysis method; decision-making process; priority vectors; global priorities; analytical framework; method selection; evaluative criteria; comparative analysis; visualization techniques; regression methods.

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Cite this Article as :
Style #
MLA Murodjon Sultanov, Iroda Abdullayeva, Botirjon Karimov. "A Novel Fusion Method for Enhanced Multi-Criteria Decision-Making in Energy Management: Integrating Analytic Hierarchy Process." Fusion: Practice and Applications, Vol. 15, No. 2, 2024 ,PP. 298-312 (Doi   :  https://doi.org/10.54216/FPA.150225)
APA Murodjon Sultanov, Iroda Abdullayeva, Botirjon Karimov. (2024). A Novel Fusion Method for Enhanced Multi-Criteria Decision-Making in Energy Management: Integrating Analytic Hierarchy Process. Journal of Fusion: Practice and Applications, 15 ( 2 ), 298-312 (Doi   :  https://doi.org/10.54216/FPA.150225)
Chicago Murodjon Sultanov, Iroda Abdullayeva, Botirjon Karimov. "A Novel Fusion Method for Enhanced Multi-Criteria Decision-Making in Energy Management: Integrating Analytic Hierarchy Process." Journal of Fusion: Practice and Applications, 15 no. 2 (2024): 298-312 (Doi   :  https://doi.org/10.54216/FPA.150225)
Harvard Murodjon Sultanov, Iroda Abdullayeva, Botirjon Karimov. (2024). A Novel Fusion Method for Enhanced Multi-Criteria Decision-Making in Energy Management: Integrating Analytic Hierarchy Process. Journal of Fusion: Practice and Applications, 15 ( 2 ), 298-312 (Doi   :  https://doi.org/10.54216/FPA.150225)
Vancouver Murodjon Sultanov, Iroda Abdullayeva, Botirjon Karimov. A Novel Fusion Method for Enhanced Multi-Criteria Decision-Making in Energy Management: Integrating Analytic Hierarchy Process. Journal of Fusion: Practice and Applications, (2024); 15 ( 2 ): 298-312 (Doi   :  https://doi.org/10.54216/FPA.150225)
IEEE Murodjon Sultanov, Iroda Abdullayeva, Botirjon Karimov, A Novel Fusion Method for Enhanced Multi-Criteria Decision-Making in Energy Management: Integrating Analytic Hierarchy Process, Journal of Fusion: Practice and Applications, Vol. 15 , No. 2 , (2024) : 298-312 (Doi   :  https://doi.org/10.54216/FPA.150225)
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