The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection
The African coffee market offers a rich and diverse range of coffee profiles. The coffee producers of Africa face numerous challenges like climate change, market fluctuations, diseases, soil degradation and limited access to finance. These challenges badly affect their productivity, quality and live...
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PeerJ Inc.
2025-02-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-2555.pdf |
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| author | Yupei Huang Muhammad Gulistan Amir Rafique Wathek Chammam Khursheed Aurangzeb Ateeq Ur Rehman |
| author_facet | Yupei Huang Muhammad Gulistan Amir Rafique Wathek Chammam Khursheed Aurangzeb Ateeq Ur Rehman |
| author_sort | Yupei Huang |
| collection | DOAJ |
| description | The African coffee market offers a rich and diverse range of coffee profiles. The coffee producers of Africa face numerous challenges like climate change, market fluctuations, diseases, soil degradation and limited access to finance. These challenges badly affect their productivity, quality and livelihood. There are different factors like social and cultural, which can affect the coffee production. This study aims to develop multi criteria decision making (MCDM) methods and their applications in coffee market specifically in identifying factors influencing consumers’ coffee brand preferences in South Africa, which is known for its vibrant coffee culture. For this purpose, first we developed the technique of analytic hierarchy process (AHP) in the environment of triangular q-rung orthopair fuzzy numbers. The triangular q-rung fuzzy numbers can effectively handle the uncertainity. The AHP technique has widely been used in decision making due to its flexibility in assigning weights and dealing with vagueness. The weights of critera plays a very important role in an MCDM problem. The development of AHP technique in triangular q-rung orthopair fuzzy environment can improve the decision making (DM) by handling vagueness in data and by using the most appropriate weights. Furthermore this new proposed method improves accuracy and minimize the information loss. The newly peoposed method is applied to different MCDM problems and comparative analysis is conducted to check the validity of results. |
| format | Article |
| id | doaj-art-28e632042dc541798e2cbb236dd9171e |
| institution | DOAJ |
| issn | 2376-5992 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj-art-28e632042dc541798e2cbb236dd9171e2025-08-20T03:01:18ZengPeerJ Inc.PeerJ Computer Science2376-59922025-02-0111e255510.7717/peerj-cs.2555The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selectionYupei Huang0Muhammad Gulistan1Amir Rafique2Wathek Chammam3Khursheed Aurangzeb4Ateeq Ur Rehman5College of Economics and Management, Zhejiang Normal University, Zhejiang, ChinaDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, CanadaDepartment of Management Sciences, COMSATS University Islamabad, Islamabad, PakistanDepartment of Mathematics, College of Science Al-Zulfi, Majmaah University, Majmaah, Saudi ArabiaDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Mathematics and Statistics, Hazara University, Mansehra, PakistanThe African coffee market offers a rich and diverse range of coffee profiles. The coffee producers of Africa face numerous challenges like climate change, market fluctuations, diseases, soil degradation and limited access to finance. These challenges badly affect their productivity, quality and livelihood. There are different factors like social and cultural, which can affect the coffee production. This study aims to develop multi criteria decision making (MCDM) methods and their applications in coffee market specifically in identifying factors influencing consumers’ coffee brand preferences in South Africa, which is known for its vibrant coffee culture. For this purpose, first we developed the technique of analytic hierarchy process (AHP) in the environment of triangular q-rung orthopair fuzzy numbers. The triangular q-rung fuzzy numbers can effectively handle the uncertainity. The AHP technique has widely been used in decision making due to its flexibility in assigning weights and dealing with vagueness. The weights of critera plays a very important role in an MCDM problem. The development of AHP technique in triangular q-rung orthopair fuzzy environment can improve the decision making (DM) by handling vagueness in data and by using the most appropriate weights. Furthermore this new proposed method improves accuracy and minimize the information loss. The newly peoposed method is applied to different MCDM problems and comparative analysis is conducted to check the validity of results.https://peerj.com/articles/cs-2555.pdfCoffee brandMajor factorsMulti-attribute decision-makingq-rung orthopair fuzzy analytic hierarchy process |
| spellingShingle | Yupei Huang Muhammad Gulistan Amir Rafique Wathek Chammam Khursheed Aurangzeb Ateeq Ur Rehman The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection PeerJ Computer Science Coffee brand Major factors Multi-attribute decision-making q-rung orthopair fuzzy analytic hierarchy process |
| title | The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection |
| title_full | The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection |
| title_fullStr | The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection |
| title_full_unstemmed | The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection |
| title_short | The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection |
| title_sort | technique of fuzzy analytic hierarchy process fahp based on the triangular q rung fuzzy numbers tr q rofns with applications in best african coffee brand selection |
| topic | Coffee brand Major factors Multi-attribute decision-making q-rung orthopair fuzzy analytic hierarchy process |
| url | https://peerj.com/articles/cs-2555.pdf |
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