Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Éverton Santi"'
Publikováno v:
Expert Systems with Applications. 206:117826
Autor:
Rafael Monteiro de Vasconcelos, Marllen Aylla Teixeira dos Santos, Priscila Gonçalves Vasconcelos Sampaio, Jonathan Paulo Pinheiro Pereira, Mario Orestes Aguirre González, Éverton Santi, Priscila da Cunha Jácome Vidal
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
There are many technologies that may emerge and eventually disappear over the years. This fact makes the monitoring of technological trends as well as the anticipation of the direction of technological change paramount. This article aims to carry out
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Fuzzy-TOPSIS is one of the most widely applied methods for solving multi-attribute decision making problems. However, an analysis of academic and real-life applications of this method has pointed out that the final alternative scores are very close,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d32073aa57ac2c5d5bf0a563b185fd13
https://repositorio.ufrn.br/handle/123456789/30634
https://repositorio.ufrn.br/handle/123456789/30634
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
The biggest challenge when disclosing private data is to share information contained in databases while protecting people from being individually identified. Microaggregation is a family of methods for statistical disclosure control. The principle of
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Clustering algorithms partition a set of n objects into p groups (called clusters), such that objects assigned to the same groups are homogeneous according to some criteria. To derive these clusters, the data input required is often a single n × n d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99d016406a67fdf2bdb719af8fd83129
https://repositorio.ufrn.br/handle/123456789/30633
https://repositorio.ufrn.br/handle/123456789/30633
Publikováno v:
Engineering Applications of Artificial Intelligence
Repositorio Universidad de Cuenca
Universidad de Cuenca
instacron:UCUENCA
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Repositorio Universidad de Cuenca
Universidad de Cuenca
instacron:UCUENCA
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
In this paper, we propose a hybrid fuzzy decision making approach, combining elements of fuzzy-ELECTRE and Fuzzy-TOPSIS, towards a new ranking procedure. The main objective of FETOPSIS is to offer rankings with good alternative discriminatory power t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c40156b1b745aefe7107cf7539f55833
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960119946&doi=10.1016/j.engappai.2015.12.012&partnerID=40&md5=259111ea53618bc26973f2fd19b9424d
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960119946&doi=10.1016/j.engappai.2015.12.012&partnerID=40&md5=259111ea53618bc26973f2fd19b9424d