The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Improved MABAC Method for Multicriteria Group Decision Making With Trapezoidal Fuzzy Neutrosophic Numbers
|
|
Author(s): Irvanizam Irvanizam (Department of Informatics, Universitas Syiah Kuala, Indonesia)and Nawar Nabila Zi (Department of Informatics, Universitas Syiah Kuala, Indonesia)
Copyright: 2022
Pages: 26
Source title:
Handbook of Research on Advances and Applications of Fuzzy Sets and Logic
Source Author(s)/Editor(s): Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)
DOI: 10.4018/978-1-7998-7979-4.ch030
Purchase
|
Abstract
Many prestigious researchers have been exploring the issues of imprecision, inconsistency, and uncertain information in decision making, which are still challenges in developing a decision support system that is more feasible and efficient. This chapter proposes a new multicriteria group decision-making (MCGDM) strategy to overcome those issues. This strategy integrates the original MABAC method with trapezoidal fuzzy neutrosophic numbers (TrFNNs). First, the proposed method converts independent judgments from experts in the form of linguistic variables into TrFNNs and aggregates them using some aggregation operators. Next, it utilizes the functions of score and accuracy to rank the evaluated alternatives. By using the distance measure between the alternatives and the border approximation area, the proposed MABAC selects the best solution. Finally, the chapter illustrates an example of COVID-19 vaccine selection and a comparative analysis to show that the proposed MABAC has benefits to support indeterminate information and is more reasonable and practicable in handling MCGDM problems.
Related Content
|
Sivasankar S., Said Broumi.
© 2023.
17 pages.
|
|
Wenhui Bai, Juanjuan Ding, Chao Zhang, Yanhui Zhai, Deyu Li, Said Broumi.
© 2023.
22 pages.
|
|
Irvanizam Irvanizam, Novi Zahara.
© 2023.
28 pages.
|
|
Sarannya Kumari R., Sunny Joseph Kalayathankal, Mathews M. George, Florentin Smarandache.
© 2023.
21 pages.
|
|
Michael G. Voskoglou.
© 2023.
22 pages.
|
|
Sonali Priyadarsini, Said Broumi, Ajay Vikram Singh.
© 2023.
16 pages.
|
|
C. Antony Crispin Sweety, S. Bhuvaneshwari.
© 2023.
34 pages.
|
|
|