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

Murodjon Sultanov^*, Iroda Abdullayeva, Botirjon Karimov

Tashkent State University of Economics, Tashkent city, Uzbekistan

Emails: murodkhan.sultanov.1987@gmail.com; i.abdullayeva74@gmail.com; botir.karim@gmail.com

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.