Application of Intuitionistic Z-Numbers in Supplier Selection
Intuitionistic fuzzy numbers incorporate the membership and nonmembership degrees. In contrast, Z-numbers consist of restriction components, with the existence of a reliability component describing the degree of certainty for the restriction. The combination of intuitionistic fuzzy numbers and Z-num...
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/34794/ http://umpir.ump.edu.my/id/eprint/34794/7/Application%20of%20Intuitionistic%20Z-Numbers%20in%20Supplier%20Selection.pdf |
| _version_ | 1848824603056537600 |
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| author | Nik Muhammad Farhan Hakim, Nik Badrul Alam Ku Muhammad Naim, Ku Khalif Nor Izzati, Jaini |
| author_facet | Nik Muhammad Farhan Hakim, Nik Badrul Alam Ku Muhammad Naim, Ku Khalif Nor Izzati, Jaini |
| author_sort | Nik Muhammad Farhan Hakim, Nik Badrul Alam |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Intuitionistic fuzzy numbers incorporate the membership and nonmembership degrees. In contrast, Z-numbers consist of restriction components, with the existence of a reliability component describing the degree of certainty for the restriction. The combination of intuitionistic fuzzy numbers and Z-numbers produce a new type of fuzzy numbers, namely intuitionistic Z-numbers (IZN). The strength of IZN is their capability of better handling the uncertainty compared to Zadeh's Z-numbers since both components of Z-numbers are characterized by the membership and non-membership functions, exhibiting the degree of the hesitancy of decision-makers. This paper presents the application of such numbers in fuzzy multi-criteria decision-making problems. A decision-making
model is proposed using the trapezoidal intuitionistic fuzzy power ordered
weighted average as the aggregation function and the ranking function to rank the alternatives. The proposed model is then implemented in a supplier selection problem. The obtained ranking is compared to the existing models based on Znumbers. The results show that the ranking order is slightly different from the existing models. Sensitivity analysis is performed to validate the obtained ranking. The sensitivity analysis result shows that the best supplier is obtained using the proposed model with 80% to 100% consistency despite the drastic change of criteria weights. Intuitionistic Z-numbers play a very important role in describing the uncertainty in the decision makers’ opinions in solving decision-making problems. |
| first_indexed | 2025-11-15T03:15:39Z |
| format | Article |
| id | ump-34794 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:15:39Z |
| publishDate | 2023 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-347942022-08-19T07:35:26Z http://umpir.ump.edu.my/id/eprint/34794/ Application of Intuitionistic Z-Numbers in Supplier Selection Nik Muhammad Farhan Hakim, Nik Badrul Alam Ku Muhammad Naim, Ku Khalif Nor Izzati, Jaini QA76 Computer software Intuitionistic fuzzy numbers incorporate the membership and nonmembership degrees. In contrast, Z-numbers consist of restriction components, with the existence of a reliability component describing the degree of certainty for the restriction. The combination of intuitionistic fuzzy numbers and Z-numbers produce a new type of fuzzy numbers, namely intuitionistic Z-numbers (IZN). The strength of IZN is their capability of better handling the uncertainty compared to Zadeh's Z-numbers since both components of Z-numbers are characterized by the membership and non-membership functions, exhibiting the degree of the hesitancy of decision-makers. This paper presents the application of such numbers in fuzzy multi-criteria decision-making problems. A decision-making model is proposed using the trapezoidal intuitionistic fuzzy power ordered weighted average as the aggregation function and the ranking function to rank the alternatives. The proposed model is then implemented in a supplier selection problem. The obtained ranking is compared to the existing models based on Znumbers. The results show that the ranking order is slightly different from the existing models. Sensitivity analysis is performed to validate the obtained ranking. The sensitivity analysis result shows that the best supplier is obtained using the proposed model with 80% to 100% consistency despite the drastic change of criteria weights. Intuitionistic Z-numbers play a very important role in describing the uncertainty in the decision makers’ opinions in solving decision-making problems. Taylor & Francis 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/34794/7/Application%20of%20Intuitionistic%20Z-Numbers%20in%20Supplier%20Selection.pdf Nik Muhammad Farhan Hakim, Nik Badrul Alam and Ku Muhammad Naim, Ku Khalif and Nor Izzati, Jaini (2023) Application of Intuitionistic Z-Numbers in Supplier Selection. Intelligent Automation & Soft Computing, 35 (1). pp. 47-61. ISSN 1079-8587. (Published) http://dx.doi.org/10.32604/iasc.2023.024660 http://dx.doi.org/10.32604/iasc.2023.024660 |
| spellingShingle | QA76 Computer software Nik Muhammad Farhan Hakim, Nik Badrul Alam Ku Muhammad Naim, Ku Khalif Nor Izzati, Jaini Application of Intuitionistic Z-Numbers in Supplier Selection |
| title | Application of Intuitionistic Z-Numbers in Supplier Selection |
| title_full | Application of Intuitionistic Z-Numbers in Supplier Selection |
| title_fullStr | Application of Intuitionistic Z-Numbers in Supplier Selection |
| title_full_unstemmed | Application of Intuitionistic Z-Numbers in Supplier Selection |
| title_short | Application of Intuitionistic Z-Numbers in Supplier Selection |
| title_sort | application of intuitionistic z-numbers in supplier selection |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/34794/ http://umpir.ump.edu.my/id/eprint/34794/ http://umpir.ump.edu.my/id/eprint/34794/ http://umpir.ump.edu.my/id/eprint/34794/7/Application%20of%20Intuitionistic%20Z-Numbers%20in%20Supplier%20Selection.pdf |