Open Access

ARTICLE

Computational Assessment of Energy Supply Sustainability Using Picture Fuzzy Choquet Integral Decision Support System

Abrar Hussain¹, Hafiz Aftab Anwar¹, Kifayat Ullah^1,2, Dragan Pamucar^3,*, Vladimir Simic^4,5,6

1 Department of Mathematics, Riphah International University (Lahore Campus), Lahore, 54000, Pakistan
2 Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 602105, Tamil Nadu, India
3 Széchenyi István University, Győr, H-9026, Hungary
4 Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, Belgrade, 11010, Serbia
5 Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, 02841, Republic of Korea
6 Yuan Ze University, College of Engineering, Department of Industrial Engineering and Management, Taoyuan City, 320315, Taiwan

* Corresponding Author: Dragan Pamucar. Email:

(This article belongs to the Special Issue: Fuzzy Logic: Next-Generation Algorithms and Applications)

Computers, Materials & Continua 2025, 85(1), 1311-1337. https://doi.org/10.32604/cmc.2025.066569

Received 11 April 2025; Accepted 03 June 2025; Issue published 29 August 2025

Abstract

For any country, the availability of electricity is crucial to the development of the national economy and society. As a result, decision-makers and policy-makers can improve the sustainability and security of the energy supply by implementing a variety of actions by using the evaluation of these factors as an early warning system. This research aims to provide a multi-criterion decision-making (MCDM) method for assessing the sustainability and security of the electrical supply. The weights of criteria, which indicate their relative relevance in the assessment of the sustainability and security of the energy supply, the MCDM method allow users to express their opinions. To overcome the impact of uncertainty and vagueness of expert opinion, we explore the notion of picture fuzzy theory, which is a more efficient and dominant mathematical model. Recently, the theory of Aczel-Alsina operations has attained a lot of attraction and has an extensive capability to acquire smooth approximated results during the aggregation process. However, Choquet integral operators are more flexible and are used to express correlation among different attributes. This article diagnoses an innovative theory of picture fuzzy set to derive robust mathematical methodologies of picture fuzzy Choquet Integral Aczel-Alsina aggregation operators. To prove the intensity and validity of invented approaches, some dominant properties and special cases are also discussed. An intelligent decision algorithm for the MCDM problem is designed to resolve complicated real-life applications under multiple conflicting criteria. Additionally, we discussed a numerical example to investigate a suitable electric transformer under consideration of different beneficial key criteria. A comparative study is established to capture the superiority and effectiveness of pioneered mathematical approaches with existing methodologies.

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Keywords

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