Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Irvanizam Irvanizam"'
Publikováno v:
Jurnal Natural, Vol 23, Iss 3, Pp 194-208 (2023)
. One of the crucial issues in data mining is to select an appropriate classification algorithm. Due to it usually involves many criteria, the duty of algorithm selection can be widely described as multiple-attribute decision-making (MADM) problems,
Externí odkaz:
https://doaj.org/article/ba952eb155b348b8b973c9f740de1718
Autor:
Irvanizam Irvanizam, Zulfan Zulfan, Puti F. Nasir, Marzuki Marzuki, Siti Rusdiana, Nany Salwa
Publikováno v:
IEEE Access, Vol 10, Pp 47476-47498 (2022)
Multi-objective optimization based on ratio analysis plus full multiplicative form (MULTIMOORA) is an efficient decision-making method for solving multi-criteria group decision-making (MCGDM) processes. It uses three strategies to examine different a
Externí odkaz:
https://doaj.org/article/40631220bb124351ae5e0516c1c9b1ea
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
An Extended Fuzzy TODIM Approach for Multiple-Attribute Decision-Making with Dual-Connection Numbers
Publikováno v:
Advances in Fuzzy Systems, Vol 2020 (2020)
The TODIM is a decision-making method that can examine the psychological behavior of decision-makers (DMs). However, the traditional TODIM method has still not been having the ability to overcome fuzzy information such as interval values and linguist
Externí odkaz:
https://doaj.org/article/d40bf7bd18184ea282200d7bbd15e8a5
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, Zahara, Novi
Publikováno v:
In Expert Systems With Applications 15 August 2024 248
Autor:
Mariza Agustia, Teuku Rizky Noviandy, Aga Maulana, Rivansyah Suhendra, Muslem Muslem, Novi Reandy Sasmita, Ghazi Mauer Idroes, Souvia Rahimah, Razief Perucha Fauzie Afidh, Muhammad Subianto, Irvanizam Irvanizam, Rinaldi Idroes
Publikováno v:
2022 International Conference on Electrical Engineering and Informatics (ICELTICs).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b39844dde12d70f0cda493071e94e003
https://doi.org/10.1109/iceltics56128.2022.9932124
https://doi.org/10.1109/iceltics56128.2022.9932124
Autor:
Irvanizam Irvanizam, Mega Siraturahmi, Aisyah Muthmainnah Binti Irwansyah, Puti Finalia Nasir, Zulfan Zulfan, Nany Salwa
Publikováno v:
2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26b5e29b430421f74aae90d9979b485d
https://doi.org/10.1109/cyberneticscom55287.2022.9865435
https://doi.org/10.1109/cyberneticscom55287.2022.9865435
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
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031091728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b18ef3830caf87e8ae0983a1cefd9c
https://doi.org/10.1007/978-3-031-09173-5_44
https://doi.org/10.1007/978-3-031-09173-5_44