Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators
The complex q-rung orthopair fuzzy sets are an important way to express uncertain and ambiguous information, and they are superior to the complex fuzzy sets, complex intuitionistic fuzzy sets, complex pythagorean fuzzy sets, and complex fermatean fuzzy sets. This paper extend the notion of q-rung or...
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Springer Nature
2025
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| author | Khan Z. Ullah I. Hussain F. Rahim T. Jan R. Khan M. |
| author2 | 58933753400 |
| author_facet | 58933753400 Khan Z. Ullah I. Hussain F. Rahim T. Jan R. Khan M. |
| author_sort | Khan Z. |
| building | UNITEN Library |
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| content_provider | Universiti Tenaga Nasional |
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| continent | Asia |
| country | Malaysia |
| description | The complex q-rung orthopair fuzzy sets are an important way to express uncertain and ambiguous information, and they are superior to the complex fuzzy sets, complex intuitionistic fuzzy sets, complex pythagorean fuzzy sets, and complex fermatean fuzzy sets. This paper extend the notion of q-rung orthopair fuzzy sets to complex q-rung orthopair fuzzy sets. Interaction aggregation operators are often used in various fields to solve multi-attribute decision-making Problems. By utilizing arithmetic and geometric operators, some well-known complex q-rung orthopair fuzzy interaction aggregation operators such as complex q-rung orthopair fuzzy interaction weighted average operator, complex q-rung orthopair fuzzy interaction weighted geometric operator, complex q-rung orthopair fuzzy interaction order weighted operator, complex q-rung orthopair fuzzy interaction order weighted geometric operator, complex q-rung orthopair fuzzy interaction hybrid operator, and complex q-rung orthopair fuzzy interaction hybrid geometric operator have been developed. In addition, some of the unique properties of these newly established operators are investigated. Finally, we explore a decision-making approach to solve multi-attribute decision-making Problem. The viability and flexibility of the suggested technique is explored with the help of a numerical example and the proposed results are compared with several existing approaches. ? The Author(s) under exclusive licence to Korean Society for Informatics and Computational Applied Mathematics 2024. |
| format | Article |
| id | my.uniten.dspace-36315 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | my.uniten.dspace-363152025-03-03T15:41:54Z Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators Khan Z. Ullah I. Hussain F. Rahim T. Jan R. Khan M. 58933753400 58064624700 57206445946 58933966300 57205596279 27171676700 Decision making Geometry Mathematical operators Numerical methods Statistical methods Aggregation operator Complex fuzzy sets Complex q-ROFI weighted average operator Complex q-ROFI weighted geometric operator Complex q-ROFS Decision-making problem Intuitionistic fuzzy sets MCDM problem Multi attribute decision making Weighted average operators Fuzzy sets The complex q-rung orthopair fuzzy sets are an important way to express uncertain and ambiguous information, and they are superior to the complex fuzzy sets, complex intuitionistic fuzzy sets, complex pythagorean fuzzy sets, and complex fermatean fuzzy sets. This paper extend the notion of q-rung orthopair fuzzy sets to complex q-rung orthopair fuzzy sets. Interaction aggregation operators are often used in various fields to solve multi-attribute decision-making Problems. By utilizing arithmetic and geometric operators, some well-known complex q-rung orthopair fuzzy interaction aggregation operators such as complex q-rung orthopair fuzzy interaction weighted average operator, complex q-rung orthopair fuzzy interaction weighted geometric operator, complex q-rung orthopair fuzzy interaction order weighted operator, complex q-rung orthopair fuzzy interaction order weighted geometric operator, complex q-rung orthopair fuzzy interaction hybrid operator, and complex q-rung orthopair fuzzy interaction hybrid geometric operator have been developed. In addition, some of the unique properties of these newly established operators are investigated. Finally, we explore a decision-making approach to solve multi-attribute decision-making Problem. The viability and flexibility of the suggested technique is explored with the help of a numerical example and the proposed results are compared with several existing approaches. ? The Author(s) under exclusive licence to Korean Society for Informatics and Computational Applied Mathematics 2024. Final 2025-03-03T07:41:54Z 2025-03-03T07:41:54Z 2024 Article 10.1007/s12190-024-02170-9 2-s2.0-85197666475 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197666475&doi=10.1007%2fs12190-024-02170-9&partnerID=40&md5=bcf34a9db8d9177e646cd77073b72b7e https://irepository.uniten.edu.my/handle/123456789/36315 70 5 5153 5189 Springer Nature Scopus |
| spellingShingle | Decision making Geometry Mathematical operators Numerical methods Statistical methods Aggregation operator Complex fuzzy sets Complex q-ROFI weighted average operator Complex q-ROFI weighted geometric operator Complex q-ROFS Decision-making problem Intuitionistic fuzzy sets MCDM problem Multi attribute decision making Weighted average operators Fuzzy sets Khan Z. Ullah I. Hussain F. Rahim T. Jan R. Khan M. Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators |
| title | Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators |
| title_full | Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators |
| title_fullStr | Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators |
| title_full_unstemmed | Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators |
| title_short | Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators |
| title_sort | multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators |
| topic | Decision making Geometry Mathematical operators Numerical methods Statistical methods Aggregation operator Complex fuzzy sets Complex q-ROFI weighted average operator Complex q-ROFI weighted geometric operator Complex q-ROFS Decision-making problem Intuitionistic fuzzy sets MCDM problem Multi attribute decision making Weighted average operators Fuzzy sets |
| url_provider | http://dspace.uniten.edu.my/ |