LAPSE:2023.12742
Published Article

LAPSE:2023.12742
An Approach for the Analysis of Energy Resource Selection Based on Attributes by Using Dombi T-Norm Based Aggregation Operators
February 28, 2023
Abstract
Dombi t-norm (DTN) and t-conorm (TCN) are among the most effective triangular norms in fuzzy systems for aggregation purposes. The environment of interval-valued intuitionistic fuzzy (IVIF) set gives us precision in expressing uncertain information by using a membership grade (MG) and non-membership grade (NMG) in the form of closed subintervals of 0, 1. The goal of this paper is to introduce DTN-based aggregation operators (AOs) for IVIF numbers (IVIFNs) and study their performance in the evaluation of the worth of energy recourses to be opted in Pakistan to deal with the energy crises situation. We first introduced some DTN and TCN-based operations for IVIFNs and developed two new AOs known as IVIF Dombi weighted averaging (IVIFDWA) and IVIF Dombi weighted geometric (IVIFDWG) operators. The validity and fitness of the proposed operators are tested. A case study is presented where the energy resources of Pakistan are discussed and the problem of the selection of sustainable energy resources in the context of Pakistan is investigated. The sensitivity analysis of the proposed IVIFDWA and IVIFDWG operators is studied and a comparative analysis of the current work with previous studies is established.
Dombi t-norm (DTN) and t-conorm (TCN) are among the most effective triangular norms in fuzzy systems for aggregation purposes. The environment of interval-valued intuitionistic fuzzy (IVIF) set gives us precision in expressing uncertain information by using a membership grade (MG) and non-membership grade (NMG) in the form of closed subintervals of 0, 1. The goal of this paper is to introduce DTN-based aggregation operators (AOs) for IVIF numbers (IVIFNs) and study their performance in the evaluation of the worth of energy recourses to be opted in Pakistan to deal with the energy crises situation. We first introduced some DTN and TCN-based operations for IVIFNs and developed two new AOs known as IVIF Dombi weighted averaging (IVIFDWA) and IVIF Dombi weighted geometric (IVIFDWG) operators. The validity and fitness of the proposed operators are tested. A case study is presented where the energy resources of Pakistan are discussed and the problem of the selection of sustainable energy resources in the context of Pakistan is investigated. The sensitivity analysis of the proposed IVIFDWA and IVIFDWG operators is studied and a comparative analysis of the current work with previous studies is established.
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Keywords
Dombi aggregation operators, interval-valued intuitionistic fuzzy sets, multi-attribute decision-making
Subject
Suggested Citation
Waqar M, Ullah K, Pamucar D, Jovanov G, Vranješ Ð. An Approach for the Analysis of Energy Resource Selection Based on Attributes by Using Dombi T-Norm Based Aggregation Operators. (2023). LAPSE:2023.12742
Author Affiliations
Waqar M: Department of Mathematics, Lahore Campus, Riphah International University, Lahore 54000, Pakistan
Ullah K: Department of Mathematics, Lahore Campus, Riphah International University, Lahore 54000, Pakistan [ORCID]
Pamucar D: Department of Logistics, Military Academy, The University of Defense in Belgrade, 11000 Belgrade, Serbia [ORCID]
Jovanov G: Department of Forensics, University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia [ORCID]
Vranješ Ð: Environ Doo Beograd-Čukarica, 11030 Belgrade, Serbia [ORCID]
Ullah K: Department of Mathematics, Lahore Campus, Riphah International University, Lahore 54000, Pakistan [ORCID]
Pamucar D: Department of Logistics, Military Academy, The University of Defense in Belgrade, 11000 Belgrade, Serbia [ORCID]
Jovanov G: Department of Forensics, University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia [ORCID]
Vranješ Ð: Environ Doo Beograd-Čukarica, 11030 Belgrade, Serbia [ORCID]
Journal Name
Energies
Volume
15
Issue
11
First Page
3939
Year
2022
Publication Date
2022-05-26
ISSN
1996-1073
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Original Submission
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PII: en15113939, Publication Type: Journal Article
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LAPSE:2023.12742
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https://doi.org/10.3390/en15113939
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Feb 28, 2023
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