Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nawar Nabila Zi"'
Autor:
Irvanizam Irvanizam, Intan Syahrini, Nawar Nabila Zi, Natasya Azzahra, Muhd Iqbal, Marzuki Marzuki, Muhammad Subianto
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2021 (2021)
The bipolar neutrosophic set is a suitable instrument to tackle the information with vagueness, complexity, and uncertainty. In this study, we improved the original EDAS (the evaluation based on distance from average solution) with bipolar neutrosoph
Externí odkaz:
https://doaj.org/article/1570b800b5bc4b899ba7f773560e1d45
Publikováno v:
Axioms, Vol 9, Iss 3, p 104 (2020)
In this manuscript, we extend the traditional multi-attributive border approximation area comparison (MABAC) method for the multiple-criteria group decision-making (MCGDM) with triangular fuzzy neutrosophic numbers (TFNNs) to propose the TFNNs-MABAC
Externí odkaz:
https://doaj.org/article/66295ec1d9d9478c815427452c13f127
Autor:
Irvanizam Irvanizam, Nawar Nabila Zi
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 chap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c49eba5d2bd467867fa7a2c7222ea3
https://doi.org/10.4018/978-1-7998-7979-4.ch030
https://doi.org/10.4018/978-1-7998-7979-4.ch030
