Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy
A multi-criteria decision-making process utilizes real-time data information, which is inherently uncertain and imprecise. To be relevant in the decision-making process, real-time data information must be reliable. Because fuzziness alone is insufficient to solve decision-making problems, measuring...
| Հիմնական հեղինակներ: | , , |
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| Ձևաչափ: | Conference or Workshop Item |
| Լեզու: | English |
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IOP Publishing Ltd
2021
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| Առցանց հասանելիություն: | http://umpir.ump.edu.my/id/eprint/35388/1/Implementing%20the%20reliability%20of%20data%20information%20in%20multi-criteria%20decision%20making%20process.pdf |
| _version_ | 1825814584494129152 |
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| author | N. J., Mohd Jamal K. M. N., Ku Khalif M. S., Mohamad |
| author_facet | N. J., Mohd Jamal K. M. N., Ku Khalif M. S., Mohamad |
| author_sort | N. J., Mohd Jamal |
| collection | UMP |
| description | A multi-criteria decision-making process utilizes real-time data information, which is inherently uncertain and imprecise. To be relevant in the decision-making process, real-time data information must be reliable. Because fuzziness alone is insufficient to solve decision-making problems, measuring the information's reliability is critical. Z-number, which incorporates both restrictions and reliability in its definition is considered as a powerful tool to depict the imperfect information. In this paper, a new methodology is developed based on fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method and fuzzy entropy for solving the multi-criteria decision-making problems where the weight information for decision makers and criteria is incomplete. The evaluation of the information is represented in the form of linguistic terms and the following calculation is performed using Z-numbers. Fuzzy entropy is applied to determine the weights of the criteria and fuzzy TOPSIS is used to rank the alternatives. An empirical study of subjective well-being of working women is used to demonstrate the proposed methodology. |
| first_indexed | 2024-03-06T13:00:43Z |
| format | Conference or Workshop Item |
| id | UMPir35388 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:00:43Z |
| publishDate | 2021 |
| publisher | IOP Publishing Ltd |
| record_format | dspace |
| spelling | UMPir353882022-10-28T04:33:23Z http://umpir.ump.edu.my/id/eprint/35388/ Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy N. J., Mohd Jamal K. M. N., Ku Khalif M. S., Mohamad Q Science (General) QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) A multi-criteria decision-making process utilizes real-time data information, which is inherently uncertain and imprecise. To be relevant in the decision-making process, real-time data information must be reliable. Because fuzziness alone is insufficient to solve decision-making problems, measuring the information's reliability is critical. Z-number, which incorporates both restrictions and reliability in its definition is considered as a powerful tool to depict the imperfect information. In this paper, a new methodology is developed based on fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method and fuzzy entropy for solving the multi-criteria decision-making problems where the weight information for decision makers and criteria is incomplete. The evaluation of the information is represented in the form of linguistic terms and the following calculation is performed using Z-numbers. Fuzzy entropy is applied to determine the weights of the criteria and fuzzy TOPSIS is used to rank the alternatives. An empirical study of subjective well-being of working women is used to demonstrate the proposed methodology. IOP Publishing Ltd 2021-08-17 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/35388/1/Implementing%20the%20reliability%20of%20data%20information%20in%20multi-criteria%20decision%20making%20process.pdf N. J., Mohd Jamal and K. M. N., Ku Khalif and M. S., Mohamad (2021) Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy. In: Journal of Physics: Conference Series, Simposium Kebangsaan Sains Matematik ke-28 (SKSM28) , 28-29 July 2021 , Kuantan, Pahang, Malaysia. pp. 1-16., 1988 (012006). ISSN 1742-6588 (Published) https://doi.org/10.1088/1742-6596/1988/1/012006 |
| spellingShingle | Q Science (General) QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) N. J., Mohd Jamal K. M. N., Ku Khalif M. S., Mohamad Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy |
| title | Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy |
| title_full | Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy |
| title_fullStr | Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy |
| title_full_unstemmed | Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy |
| title_short | Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy |
| title_sort | implementing the reliability of data information in multi criteria decision making process based on fuzzy topsis and fuzzy entropy |
| topic | Q Science (General) QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/35388/1/Implementing%20the%20reliability%20of%20data%20information%20in%20multi-criteria%20decision%20making%20process.pdf |
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