A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information
Abstract Due to the frequent occurrence of numerous emergency events that have significantly damaged society and the economy, the need for emergency decision-making has been manifest recently. It assumes a controllable function when it is critical to limit property and personal catastrophes and less...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-35390-3 |
| _version_ | 1797817981810507776 |
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| author | Shahzaib Ashraf Muhammad Sohail Razia Choudhary Muhammad Naeem Gilbert Chambashi Mohamed R. Ali |
| author_facet | Shahzaib Ashraf Muhammad Sohail Razia Choudhary Muhammad Naeem Gilbert Chambashi Mohamed R. Ali |
| author_sort | Shahzaib Ashraf |
| collection | DOAJ |
| description | Abstract Due to the frequent occurrence of numerous emergency events that have significantly damaged society and the economy, the need for emergency decision-making has been manifest recently. It assumes a controllable function when it is critical to limit property and personal catastrophes and lessen their negative consequences on the natural and social course of events. In emergency decision-making problems, the aggregation method is crucial, especially when there are more competing criteria. Based on these factors, we first introduced some basic concepts about SHFSS, and then we introduced some new aggregation operators such as the spherical hesitant fuzzy soft weighted average, spherical hesitant fuzzy soft ordered weighted average, spherical hesitant fuzzy weighted geometric aggregation, spherical hesitant fuzzy soft ordered weighted geometric aggregation, spherical hesitant fuzzy soft hybrid average, and spherical hesitant fuzzy soft hybrid geometric aggregation operator. The characteristics of these operators are also thoroughly covered. Also, an algorithm is developed within the spherical hesitant fuzzy soft environment. Furthermore, we extend our investigation to the Evaluation based on the Distance from Average Solution method in multiple attribute group decision-making with spherical hesitant fuzzy soft averaging operators. And a numerical illustration for “supply of emergency aid in post-flooding the situation” is given to show the accuracy of the mentioned work. Then a comparison between these operators and the EDAS method is also established in order to further highlight the superiority of the established work. |
| first_indexed | 2024-03-13T09:02:34Z |
| format | Article |
| id | doaj.art-5933c565a7a44c4cb81f974918b668e2 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T09:02:34Z |
| publishDate | 2023-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5933c565a7a44c4cb81f974918b668e22023-05-28T11:15:35ZengNature PortfolioScientific Reports2045-23222023-05-0113112410.1038/s41598-023-35390-3A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation informationShahzaib Ashraf0Muhammad Sohail1Razia Choudhary2Muhammad Naeem3Gilbert Chambashi4Mohamed R. Ali5Institute of Mathematics, Khwaja Fareed University of Engineering and Information TechnologyInstitute of Mathematics, Khwaja Fareed University of Engineering and Information TechnologyInstitute of Mathematics, Khwaja Fareed University of Engineering and Information TechnologyDepartment of Mathematics, Deanship of Applied Sciences, Umm Al-Qura UniversitySchool of Business Studies, Unicaf UniversityFaculty of Engineering and Technology, Future UniversityAbstract Due to the frequent occurrence of numerous emergency events that have significantly damaged society and the economy, the need for emergency decision-making has been manifest recently. It assumes a controllable function when it is critical to limit property and personal catastrophes and lessen their negative consequences on the natural and social course of events. In emergency decision-making problems, the aggregation method is crucial, especially when there are more competing criteria. Based on these factors, we first introduced some basic concepts about SHFSS, and then we introduced some new aggregation operators such as the spherical hesitant fuzzy soft weighted average, spherical hesitant fuzzy soft ordered weighted average, spherical hesitant fuzzy weighted geometric aggregation, spherical hesitant fuzzy soft ordered weighted geometric aggregation, spherical hesitant fuzzy soft hybrid average, and spherical hesitant fuzzy soft hybrid geometric aggregation operator. The characteristics of these operators are also thoroughly covered. Also, an algorithm is developed within the spherical hesitant fuzzy soft environment. Furthermore, we extend our investigation to the Evaluation based on the Distance from Average Solution method in multiple attribute group decision-making with spherical hesitant fuzzy soft averaging operators. And a numerical illustration for “supply of emergency aid in post-flooding the situation” is given to show the accuracy of the mentioned work. Then a comparison between these operators and the EDAS method is also established in order to further highlight the superiority of the established work.https://doi.org/10.1038/s41598-023-35390-3 |
| spellingShingle | Shahzaib Ashraf Muhammad Sohail Razia Choudhary Muhammad Naeem Gilbert Chambashi Mohamed R. Ali A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information Scientific Reports |
| title | A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information |
| title_full | A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information |
| title_fullStr | A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information |
| title_full_unstemmed | A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information |
| title_short | A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information |
| title_sort | model for emergency supply management under extended edas method and spherical hesitant fuzzy soft aggregation information |
| url | https://doi.org/10.1038/s41598-023-35390-3 |
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