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International Journal of Computer Mathematics Volume 92, 2015 - Issue 9: New Computational and Statistical models in Science and Economics
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SECTION B

Protecting data: a fuzzy approach

P. QuirósDepartment of Mathematics, University of Oviedo, Gijón33203, Spain
,
P. AlonsoDepartment of Mathematics, University of Oviedo, Gijón33203, SpainCorrespondence[email protected]
,
I. DíazDepartment of Computer Science, University of Oviedo, Gijón33203, Spain
&
S. MontesDepartment of Statistics and O.R., University of Oviedo, Gijón33203, Spain
Pages 1989-2000 | Received 26 Jul 2013, Accepted 21 May 2014, Published online: 20 Jun 2014

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L. Bayón & R. García-Rubio. (2015) New computational and statistical models in science and economics. International Journal of Computer Mathematics 92:9, pages 1729-1732.
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Articles from other publishers (4)

Irene Díaz, Anca L. Ralescu, Dan A. Ralescu & Luis J. Rodríguez-Muñiz. 2018. The Mathematics of the Uncertain. The Mathematics of the Uncertain 575 584 .
Pelayo Quirós, Pedro Alonso, Irene Díaz, Vladimír Janiš & Susana Montes. (2017) On cardinalities of finite interval-valued hesitant fuzzy sets. Information Sciences 418-419, pages 421-431.
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Pelayo Quirós, Pedro Alonso, Irene Díaz & Susana Montes. (2017) On δ-ϵ-Partitions for Finite Interval-Valued Hesitant Fuzzy Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24:Suppl. 2, pages 145-163.
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Pelayo Quirós, Pedro Alonso, Humberto Bustince, Irene Díaz & Susana Montes. (2015) An entropy measure definition for finite interval-valued hesitant fuzzy sets. Knowledge-Based Systems 84, pages 121-133.
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