Implementing the reliability of data information in multi-criteria decision making process based on fuzzy topsis and fuzzy entropy

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

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: FTOPSIS; Fuzzy entropy; MCDM; Subjective well-being; Z-Numbers
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Faculty/Division: Faculty of Industrial Sciences And Technology
Center for Mathematical Science
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 28 Oct 2022 04:33
Last Modified: 28 Oct 2022 04:33
URI: http://umpir.ump.edu.my/id/eprint/35388
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