Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators
To deal with the uncertainty and ensure the sustainability of the manufacturing industry, we designed a multi criteria decision-making technique based on a list of unique operators for single-valued neutrosophic hesitant fuzzy rough (SV-NHFR) environments with a high confidence level. We show that,...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2023-03-01
|
| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2023605?viewType=HTML |
| _version_ | 1797850961614471168 |
|---|---|
| author | Muhammad Kamran Rashad Ismail Shahzaib Ashraf Nadeem Salamat Seyma Ozon Yildirim Ismail Naci Cangul |
| author_facet | Muhammad Kamran Rashad Ismail Shahzaib Ashraf Nadeem Salamat Seyma Ozon Yildirim Ismail Naci Cangul |
| author_sort | Muhammad Kamran |
| collection | DOAJ |
| description | To deal with the uncertainty and ensure the sustainability of the manufacturing industry, we designed a multi criteria decision-making technique based on a list of unique operators for single-valued neutrosophic hesitant fuzzy rough (SV-NHFR) environments with a high confidence level. We show that, in contrast to the neutrosophic rough average and geometric aggregation operators, which are unable to take into account the level of experts' familiarity with examined objects for a preliminary evaluation, the neutrosophic average and geometric aggregation operators have a higher level of confidence in the fundamental idea of a more networked composition. A few of the essential qualities of new operators have also been covered. To illustrate the practical application of these operators, we have given an algorithm and a practical example. We have also created a manufacturing business model that takes sustainability into consideration and is based on the neutrosophic rough model. A symmetric comparative analysis is another tool we use to show the feasibility of our proposed enhancements. |
| first_indexed | 2024-04-09T19:10:03Z |
| format | Article |
| id | doaj.art-3949ef93fd4640b7a10b2cc85241e946 |
| institution | Directory Open Access Journal |
| issn | 2473-6988 |
| language | English |
| last_indexed | 2024-04-09T19:10:03Z |
| publishDate | 2023-03-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Mathematics |
| spelling | doaj.art-3949ef93fd4640b7a10b2cc85241e9462023-04-07T01:11:12ZengAIMS PressAIMS Mathematics2473-69882023-03-0185119731200810.3934/math.2023605Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operatorsMuhammad Kamran0 Rashad Ismail1Shahzaib Ashraf2Nadeem Salamat3Seyma Ozon Yildirim4Ismail Naci Cangul 51. Institute of Mathematics, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan2. Department of Mathematics, Faculty of Science and Arts, King Khalid University, Muhayl Assir 61913, Saudi Arabia 3. Department of Mathematics and Computer, Faculty of Science, Ibb University, Ibb 70270, Yemen1. Institute of Mathematics, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan1. Institute of Mathematics, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan4. Department of Mathematics, Bursa Uludag University, Gorukle 16059, Turkey4. Department of Mathematics, Bursa Uludag University, Gorukle 16059, TurkeyTo deal with the uncertainty and ensure the sustainability of the manufacturing industry, we designed a multi criteria decision-making technique based on a list of unique operators for single-valued neutrosophic hesitant fuzzy rough (SV-NHFR) environments with a high confidence level. We show that, in contrast to the neutrosophic rough average and geometric aggregation operators, which are unable to take into account the level of experts' familiarity with examined objects for a preliminary evaluation, the neutrosophic average and geometric aggregation operators have a higher level of confidence in the fundamental idea of a more networked composition. A few of the essential qualities of new operators have also been covered. To illustrate the practical application of these operators, we have given an algorithm and a practical example. We have also created a manufacturing business model that takes sustainability into consideration and is based on the neutrosophic rough model. A symmetric comparative analysis is another tool we use to show the feasibility of our proposed enhancements.https://www.aimspress.com/article/doi/10.3934/math.2023605?viewType=HTMLconfidence levelneutrosophic informationaggregation operatorshesitant informationrough setsdecision-making |
| spellingShingle | Muhammad Kamran Rashad Ismail Shahzaib Ashraf Nadeem Salamat Seyma Ozon Yildirim Ismail Naci Cangul Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators AIMS Mathematics confidence level neutrosophic information aggregation operators hesitant information rough sets decision-making |
| title | Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators |
| title_full | Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators |
| title_fullStr | Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators |
| title_full_unstemmed | Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators |
| title_short | Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators |
| title_sort | decision support algorithm under sv neutrosophic hesitant fuzzy rough information with confidence level aggregation operators |
| topic | confidence level neutrosophic information aggregation operators hesitant information rough sets decision-making |
| url | https://www.aimspress.com/article/doi/10.3934/math.2023605?viewType=HTML |
| work_keys_str_mv | AT muhammadkamran decisionsupportalgorithmundersvneutrosophichesitantfuzzyroughinformationwithconfidencelevelaggregationoperators AT rashadismail decisionsupportalgorithmundersvneutrosophichesitantfuzzyroughinformationwithconfidencelevelaggregationoperators AT shahzaibashraf decisionsupportalgorithmundersvneutrosophichesitantfuzzyroughinformationwithconfidencelevelaggregationoperators AT nadeemsalamat decisionsupportalgorithmundersvneutrosophichesitantfuzzyroughinformationwithconfidencelevelaggregationoperators AT seymaozonyildirim decisionsupportalgorithmundersvneutrosophichesitantfuzzyroughinformationwithconfidencelevelaggregationoperators AT ismailnacicangul decisionsupportalgorithmundersvneutrosophichesitantfuzzyroughinformationwithconfidencelevelaggregationoperators |