Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Aranzazu Jurio"'
Autor:
Alicia Martinez, Idoia San Martín, Marisol Gómez, Edurne Barrenechea, Aranzazu Jurio, Leyre Catalan, Gurutze Perez, Silvia Diaz, P. Aranguren
Publikováno v:
EDUCON
The number of women in scientific and technological careers is quite small compared to the number of men in the same careers. To equalize these numbers, the Public University of Navarra started a new initiative in 2017. The goal of this project is to
Autor:
Idoia San Martín, Alicia Martinez, Edurne Barrenechea, Aranzazu Jurio, Marisol Gómez, Gurutze Perez, Leyre Catalan, P. Aranguren, Silvia Diaz
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
EDUCON
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
EDUCON
The Public University of Navarre joined with Navarre Government has created the Women, Science and Technology Chair. This chair arises due to the plummeting tendency of the percentage of women in STEM degrees with the aim of reversing this trend. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30bd2ea2e7f4766e3ae7bc82f9a26f2a
https://hdl.handle.net/2454/39378
https://hdl.handle.net/2454/39378
Autor:
Humberto Bustince, Mária Minárová, Aranzazu Jurio, Zdenko Takáč, Daniel Paternain, Javier Ruiz-Aranguren
Publikováno v:
Information Sciences. :87-103
In this paper we replace the product of the masses in the Gravitational search algorithm introduced by [17] by other bivariate functions with specific properties. We analyze the properties of these functions to guarantee convergence in the algorithm
Autor:
Humberto Bustince, Aranzazu Jurio, Krzysztof Balicki, Javier Fernández, Urszula Bentkowska, Barbara Pȩkala
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 25:43-72
In this paper we study interval-valued fuzzy relations. We consider preference relations, i.e. a triplet consisting of strict preference, indifference and incomparability which are defined with the use of a fuzzy negation. We analyze the preservation
Autor:
Aranzazu Jurio, Michał Baczyński, Katarzyna Miś, Humberto Bustince, Benjamin Bedregal, Graçaliz Pereira Dimuro
Publikováno v:
International Journal of Approximate Reasoning. 82:170-192
Considering the important role played by overlap and grouping functions in several applications in which associativity is not demanded, in this paper we introduce the notion of QL-operations constructed from tuples ( O , G , N ) , where overlap funct
Autor:
Humberto Bustince, Santiago Garcia-Jimenez, Miguel Pagola, Aranzazu Jurio, Laura De Miguel, Edurne Barrenechea
Publikováno v:
Applied Soft Computing. 52:834-842
Graphical abstractDisplay Omitted HighlightsWe propose a new inference algorithm using overlap functions and indices.The convex combination of overlap expressions maintains the overlap properties.We avoid the difficult selection of appropriate expres
Publikováno v:
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making ISBN: 9783030237554
Clustering is often classified as an unsupervised machine learning approach. It has been extensively used for data analysis. It permits us to extract some structure from a data set. Clustering can be applied to all types of data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5d3907907da6b2079f170776ff5ddf2
https://doi.org/10.1007/978-3-030-23756-1_3
https://doi.org/10.1007/978-3-030-23756-1_3
Autor:
Mária Minárová, Humberto Bustince, J. Armentia, Aranzazu Jurio, I. Rodríguez, J. Fumanal Idocin
Publikováno v:
New Trends in Aggregation Theory ISBN: 9783030194932
AGOP
AGOP
The paper is devoted to the theoretical study of a specific clustering algorithm. Along the particular time steps of the algorithm the Newton gravitational law is used for attracting the particles each other. Our investigation is focused to a kind of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f3b3c2f13c04ac044dae95f312c8fbf
https://doi.org/10.1007/978-3-030-19494-9_16
https://doi.org/10.1007/978-3-030-19494-9_16
Publikováno v:
FUZZ-IEEE
In this work we study how the outliers can distort a partitional clustering process. We present a new algorithm to avoid this distortion. It is based on the minimization of a new objective functions, which is an extension of the one of the Fuzzy Clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c0987ca13facef072ad8273c3437962
http://mural.maynoothuniversity.ie/14380/
http://mural.maynoothuniversity.ie/14380/
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030219192
IFSA/NAFIPS
IFSA/NAFIPS
In this work we present an adaptation of the well known k-means algorithm for clustering. The proposal increases the flexibility of the algorithm to calculate the representative value of each cluster. To do so, we work with Induced Ordered Weighting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43c1d51b4648f929b32c5d7031973d26
https://doi.org/10.1007/978-3-030-21920-8_3
https://doi.org/10.1007/978-3-030-21920-8_3