Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators

Unpredictability and fuzziness coexist in decision-making analysis due to the complexity of the decision-making environment. “Pythagorean fuzzy numbers” (PFNs) outperform “intuitionistic fuzzy numbers” (IFNs) when dealing with unclear data. The “Pythagorean fuzzy set” (PFS) is a useful tool because...

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Main Authors: Mohammed M. Al-Shamiri, Rashad Ismail, Saqib Mazher Qurashi, Fareeha Dilawar, Faria Ahmed Shami
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2023/3359858
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author Mohammed M. Al-Shamiri
Rashad Ismail
Saqib Mazher Qurashi
Fareeha Dilawar
Faria Ahmed Shami
author_facet Mohammed M. Al-Shamiri
Rashad Ismail
Saqib Mazher Qurashi
Fareeha Dilawar
Faria Ahmed Shami
author_sort Mohammed M. Al-Shamiri
collection DOAJ
description Unpredictability and fuzziness coexist in decision-making analysis due to the complexity of the decision-making environment. “Pythagorean fuzzy numbers” (PFNs) outperform “intuitionistic fuzzy numbers” (IFNs) when dealing with unclear data. The “Pythagorean fuzzy set” (PFS) is a useful tool because it removes the restriction that the sum of membership degrees be less than or equal to one by substituting the square sum for the sum of membership degrees. This study proposes two aggregating operators (AOs). The recommended operators outperform the already specified PFN operators. The proposed operator is utilised in the multicriteria decision-making process to identify the best candidate for instruction (MCDM).
format Article
id doaj-art-3b1394d3c0474663a91c23a42b5d3e25
institution Kabale University
issn 2314-4785
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-3b1394d3c0474663a91c23a42b5d3e252025-08-20T03:55:36ZengWileyJournal of Mathematics2314-47852023-01-01202310.1155/2023/3359858Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation OperatorsMohammed M. Al-Shamiri0Rashad Ismail1Saqib Mazher Qurashi2Fareeha Dilawar3Faria Ahmed Shami4Department of MathematicsDepartment of MathematicsGovernment College University FaisalabadGovernment College Women University FaisalabadDepartment of MathematicsUnpredictability and fuzziness coexist in decision-making analysis due to the complexity of the decision-making environment. “Pythagorean fuzzy numbers” (PFNs) outperform “intuitionistic fuzzy numbers” (IFNs) when dealing with unclear data. The “Pythagorean fuzzy set” (PFS) is a useful tool because it removes the restriction that the sum of membership degrees be less than or equal to one by substituting the square sum for the sum of membership degrees. This study proposes two aggregating operators (AOs). The recommended operators outperform the already specified PFN operators. The proposed operator is utilised in the multicriteria decision-making process to identify the best candidate for instruction (MCDM).http://dx.doi.org/10.1155/2023/3359858
spellingShingle Mohammed M. Al-Shamiri
Rashad Ismail
Saqib Mazher Qurashi
Fareeha Dilawar
Faria Ahmed Shami
Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators
Journal of Mathematics
title Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators
title_full Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators
title_fullStr Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators
title_full_unstemmed Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators
title_short Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators
title_sort multi criteria decision making with novel pythagorean fuzzy aggregation operators
url http://dx.doi.org/10.1155/2023/3359858
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