EconPapers    
Economics at your fingertips  
 

Assessment of Smart Grid Systems for Electricity Using Power Maclaurin Symmetric Mean Operators Based on T-Spherical Fuzzy Information

Areeba Naseem, Kifayat Ullah (), Maria Akram, Darko Božanić and Goran Ćirović
Additional contact information
Areeba Naseem: Department of Mathematics, Riphah International University, Lahore Campus, Lahore 54000, Pakistan
Kifayat Ullah: Department of Mathematics, Riphah International University, Lahore Campus, Lahore 54000, Pakistan
Maria Akram: Department of Mathematics, Riphah International University, Lahore Campus, Lahore 54000, Pakistan
Darko Božanić: Military Academy, University of Defense in Belgrade, 11000 Belgrade, Serbia
Goran Ćirović: Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica-6, 21000 Novi Sad, Serbia

Energies, 2022, vol. 15, issue 21, 1-25

Abstract: Traditional electricity networks are replaced by smart grids to increase efficiency at a low cost. Several energy projects in Pakistan have been developed, while others are currently in the planning stages. To assess the performance of the smart grids in Pakistan, this article employs a multi-attribute group decision-making (MAGDM) strategy based on power Maclaurin symmetric mean (PMSM) operators. We proposed a T-spherical fuzzy (TSF) power MSM (TSFPMSM), and a weighted TSFPMSM (WTSFPMSM) operator. The proposed work aims to analyze the problem involving smart grids in an uncertain environment by covering four aspects of uncertain information. The idempotency, boundedness, and monotonicity features of the proposed TSFPMSM are investigated. In order to assess Pakistan’s smart grid networks based on the suggested TSFPMSM operators, a MAGDM algorithm has been developed. The sensitivity analysis of the proposed numerical example is analyzed based on observing the reaction of the variation of the sensitive parameters, followed by a comprehensive comparative study. The comparison results show the superiority of the proposed approach.

Keywords: T-Spherical fuzzy Maclaurin symmetric means; T-Spherical fuzzy power Maclaurin symmetric means; smart grid technology; MULTI-attribute group decision making (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/21/7826/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/21/7826/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:21:p:7826-:d:950266

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7826-:d:950266