Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operator
Cubic Fermatean fuzzy sets offer a flexible and powerful tool for decision-making, permitting decision-makers to incorporate uncertainty and reluctance into their decision-making process, and enabling them to make more informed and effective decisions in complex and uncertain situations. We present...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447924001126 |
| _version_ | 1797238077718003712 |
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| author | Aliya Fahmi Aziz Khan Thabet Abdeljawad |
| author_facet | Aliya Fahmi Aziz Khan Thabet Abdeljawad |
| author_sort | Aliya Fahmi |
| collection | DOAJ |
| description | Cubic Fermatean fuzzy sets offer a flexible and powerful tool for decision-making, permitting decision-makers to incorporate uncertainty and reluctance into their decision-making process, and enabling them to make more informed and effective decisions in complex and uncertain situations. We present cubic fermatean fuzzy set and operational laws. We offer some cubic fermatean fuzzy numbers, as well as some cubic fermatean fuzzy aggregation operators, such as the cubic fermatean Einstein fuzzy weighted geometric operator, the cubic fermatean Einstein fuzzy ordered weighted geometric operator, and the cubic fermatean Einstein fuzzy hybrid weighted geometric operator. To demonstrate the solution to complicated real-life problems, an algorithm for the MADM problem is established under a system of cubic fermatean fuzzy information. To check the possibility of proposed aggregation approaches, we provided a numerical example to choose the desirable best options by using conceived approaches. To disclose the suppleness and applicability of designed methods, sensitive study, and comparative study are illustrated by complementary findings of existing methods with presently developed approaches. |
| first_indexed | 2024-04-24T17:29:55Z |
| format | Article |
| id | doaj.art-edbdaa7642bb416988b8f5e68cae3fcd |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-04-24T17:29:55Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-edbdaa7642bb416988b8f5e68cae3fcd2024-03-28T06:37:43ZengElsevierAin Shams Engineering Journal2090-44792024-04-01154102737Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operatorAliya Fahmi0Aziz Khan1Thabet Abdeljawad2Department of Mathematics, The University of Faisalabad, Faisalabad Pakistan; Corresponding authors.Department of Mathematics and Sciences, Prince Sultan University, P.O. Box 6683, 11586, Riyadh, Saudi ArabiaDepartment of Mathematics and Sciences, Prince Sultan University, P.O. Box 6683, 11586, Riyadh, Saudi Arabia; Department of Medical Research, China Medical University, 40402, Taichung, Taiwan; Department of Mathematics, Kyung Hee University, 02447, Seoul, Korea; Department of Mathematics and Applied Mathematics, Sefako Makgatho Health Sciences University, 0204, Medusa, South Africa; Corresponding authors.Cubic Fermatean fuzzy sets offer a flexible and powerful tool for decision-making, permitting decision-makers to incorporate uncertainty and reluctance into their decision-making process, and enabling them to make more informed and effective decisions in complex and uncertain situations. We present cubic fermatean fuzzy set and operational laws. We offer some cubic fermatean fuzzy numbers, as well as some cubic fermatean fuzzy aggregation operators, such as the cubic fermatean Einstein fuzzy weighted geometric operator, the cubic fermatean Einstein fuzzy ordered weighted geometric operator, and the cubic fermatean Einstein fuzzy hybrid weighted geometric operator. To demonstrate the solution to complicated real-life problems, an algorithm for the MADM problem is established under a system of cubic fermatean fuzzy information. To check the possibility of proposed aggregation approaches, we provided a numerical example to choose the desirable best options by using conceived approaches. To disclose the suppleness and applicability of designed methods, sensitive study, and comparative study are illustrated by complementary findings of existing methods with presently developed approaches.http://www.sciencedirect.com/science/article/pii/S2090447924001126Multi-attribute decision makingFermatean fuzzy setCubic fermatean fuzzy setEinstein |
| spellingShingle | Aliya Fahmi Aziz Khan Thabet Abdeljawad Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operator Ain Shams Engineering Journal Multi-attribute decision making Fermatean fuzzy set Cubic fermatean fuzzy set Einstein |
| title | Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operator |
| title_full | Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operator |
| title_fullStr | Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operator |
| title_full_unstemmed | Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operator |
| title_short | Group decision making based on cubic fermatean Einstein fuzzy weighted geometric operator |
| title_sort | group decision making based on cubic fermatean einstein fuzzy weighted geometric operator |
| topic | Multi-attribute decision making Fermatean fuzzy set Cubic fermatean fuzzy set Einstein |
| url | http://www.sciencedirect.com/science/article/pii/S2090447924001126 |
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