Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mohammed Chaouki Abounaima"'
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract Nowadays, the online environment is extra information-rich and allows companies to offer and receive more and more options and opportunities in multiple areas. Thus, decision-makers have abundantly available alternatives to choose from the b
Externí odkaz:
https://doaj.org/article/f0215e725491476092792b59ad6301af
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-30 (2019)
Abstract Introduction The problem studied in this paper is the road insecurity, which is manifested by the big number of injuries and deaths recorded annually around the world. These victims of road accidents worry the whole community, hence the duty
Externí odkaz:
https://doaj.org/article/d6a3ead098ac4d759125ce8055e42d34
Autor:
Loubna Lamrini, Mohammed Chaouki Abounaima, null Fatima Zahra El Mazouri, null Mohammed Ouzarf, null Mohammed TALIBI ALAOUI
Publikováno v:
Statistics, Optimization & Information Computing. 10:192-203
Nowadays, multi-criteria decision-making (MCDM) methods are often used to solve problems involving large data sets, especially with the advent of the big data age. In such a context, the multi-criteria decision-making methods theoretically can be use
Autor:
Mohammed Chaouki ABOUNAIMA, Fatima-zahra El MAZOURI, Loubna LAMRINI, Mohamed OUZARF, Mohammed Chaouk TALIBI ALAOUI
Publikováno v:
Statistics, Optimization & Information Computing. 10:171-191
Almost all the decision problems are by nature multi-criteria, where multiple and conflflicting criteria must be considered in the decision-making process. For some cases of these decision problems, they are further marked by a lack of certainty and
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 5:1064-1074
Autor:
Loubna Lamrini, Mohamed Ouzarf, Mohammed Chaouki Abounaima, Noureddine El Makhfi, Mohammed Talibi Alaoui, Fatima Zahra El Mazouri
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813368927
Nowadays, there is a panoply of multi-criteria decision-making methods which are proposed in the literature to solve the ranking problematic, where each method has its resolution process and has its drawbacks and advantages. These methods aim to rank
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0315af15425ea29d7e91a52827f792
https://doi.org/10.1007/978-981-33-6893-4_3
https://doi.org/10.1007/978-981-33-6893-4_3
Autor:
Lakhdar Sais, Badran Raddaoui, Khalid Zenkouar, Mohammed Chaouki Abounaima, Fatima-Zahra El Mazouri, Said Jabbour
Publikováno v:
Procedia Computer Science. 148:283-290
In this paper, we propose an extension of the framework proposed in [1] for breaking symmetries in association rules problems. Symmetries are defined as permutations between items that leave invariant the set of the transactions. Such kind of structu
Autor:
Mohammed Chaouki Abounaima, Mohammed Talibi Alaoui, Fatima Zahra El Mazouri, Noureddine El Makhfi, Mohamed Ouzarf, Loubna Lamrini
Publikováno v:
ICECOCS
The purpose of this paper is to propose a solution to reduce the number of candidate alternatives in a Multi-Criteria Decision-Making problem. The majority of Multi-Criteria Decision-Making methods suppose a limited number of alternatives, whereas, i
Publikováno v:
ICECOCS
Moroccan craftsmanship has been booming in recent years. The decorations mark refined traces of patterns and forms rich in colors. Despite recent studies, the machine still finds problems recognizing patterns and shapes. In this paper, we propose a n
Autor:
Fatima Zahra El Mazouri, Mohamed Ouzarf, Noureddine El Makhfi, Loubna Lamrini, Najib Nfissi, Mohammed Chaouki Abounaima
Publikováno v:
2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).
The original contribution of this work consists to use the correlation measurement, known in the literature as the Pearson correlation coefficient. This measure will be deployed to compare the aggregation results obtained by different multicriteria a