Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications
Abstract Supply chain management is an essential part of an organisation's sustainable programme. Understanding the concentration of natural environment, public, and economic influence and feasibility of your suppliers and purchasers is becoming progressively familiar as all industries are movi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-03-01
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| Series: | CAAI Transactions on Intelligence Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cit2.12146 |
| _version_ | 1797871094966779904 |
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| author | Tahir Mahmood Zeeshan Ali Muhammad Naeem |
| author_facet | Tahir Mahmood Zeeshan Ali Muhammad Naeem |
| author_sort | Tahir Mahmood |
| collection | DOAJ |
| description | Abstract Supply chain management is an essential part of an organisation's sustainable programme. Understanding the concentration of natural environment, public, and economic influence and feasibility of your suppliers and purchasers is becoming progressively familiar as all industries are moving towards a massive sustainable potential. To handle such sort of developments in supply chain management the involvement of fuzzy settings and their generalisations is playing an important role. Keeping in mind this role, the aim of this study is to analyse the role and involvement of complex q‐rung orthopair normal fuzzy (CQRONF) information in supply chain management. The major impact of this theory is to analyse the notion of confidence CQRONF weighted averaging, confidence CQRONF ordered weighted averaging, confidence CQRONF hybrid averaging, confidence CQRONF weighted geometric, confidence CQRONF ordered weighted geometric, confidence CQRONF hybrid geometric operators and try to diagnose various properties and results. Furthermore, with the help of the CRITIC and VIKOR models, we diagnosed the novel theory of the CQRONF‐CRITIC‐VIKOR model to check the sensitivity analysis of the initiated method. Moreover, in the availability of diagnosed operators, we constructed a multi‐attribute decision‐making tool for finding a beneficial sustainable supplier to handle complex dilemmas. Finally, the initiated operator's efficiency is proved by comparative analysis. |
| first_indexed | 2024-04-10T00:38:46Z |
| format | Article |
| id | doaj.art-aac81995b6454db2b928cd99eb3bae1c |
| institution | Directory Open Access Journal |
| issn | 2468-2322 |
| language | English |
| last_indexed | 2024-04-10T00:38:46Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | CAAI Transactions on Intelligence Technology |
| spelling | doaj.art-aac81995b6454db2b928cd99eb3bae1c2023-03-14T08:04:43ZengWileyCAAI Transactions on Intelligence Technology2468-23222023-03-0181406310.1049/cit2.12146Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applicationsTahir Mahmood0Zeeshan Ali1Muhammad Naeem2Department of Mathematics and Statistics International Islamic University Islamabad Islamabad PakistanDepartment of Mathematics and Statistics International Islamic University Islamabad Islamabad PakistanUmm Al‐Qura University Makkah Saudi ArabiaAbstract Supply chain management is an essential part of an organisation's sustainable programme. Understanding the concentration of natural environment, public, and economic influence and feasibility of your suppliers and purchasers is becoming progressively familiar as all industries are moving towards a massive sustainable potential. To handle such sort of developments in supply chain management the involvement of fuzzy settings and their generalisations is playing an important role. Keeping in mind this role, the aim of this study is to analyse the role and involvement of complex q‐rung orthopair normal fuzzy (CQRONF) information in supply chain management. The major impact of this theory is to analyse the notion of confidence CQRONF weighted averaging, confidence CQRONF ordered weighted averaging, confidence CQRONF hybrid averaging, confidence CQRONF weighted geometric, confidence CQRONF ordered weighted geometric, confidence CQRONF hybrid geometric operators and try to diagnose various properties and results. Furthermore, with the help of the CRITIC and VIKOR models, we diagnosed the novel theory of the CQRONF‐CRITIC‐VIKOR model to check the sensitivity analysis of the initiated method. Moreover, in the availability of diagnosed operators, we constructed a multi‐attribute decision‐making tool for finding a beneficial sustainable supplier to handle complex dilemmas. Finally, the initiated operator's efficiency is proved by comparative analysis.https://doi.org/10.1049/cit2.12146averaging/geometric aggregation operatorscomplex q‐rung orthopair normal fuzzy informationconfidence levelsstrategic decision‐making methods |
| spellingShingle | Tahir Mahmood Zeeshan Ali Muhammad Naeem Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications CAAI Transactions on Intelligence Technology averaging/geometric aggregation operators complex q‐rung orthopair normal fuzzy information confidence levels strategic decision‐making methods |
| title | Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications |
| title_full | Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications |
| title_fullStr | Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications |
| title_full_unstemmed | Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications |
| title_short | Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications |
| title_sort | aggregation operators and critic vikor method for confidence complex q rung orthopair normal fuzzy information and their applications |
| topic | averaging/geometric aggregation operators complex q‐rung orthopair normal fuzzy information confidence levels strategic decision‐making methods |
| url | https://doi.org/10.1049/cit2.12146 |
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