An approach to robust condition monitoring in industrial processes using pythagorean membership grades-Reference-Cited by-同舟云学术

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An approach to robust condition monitoring in industrial processes using pythagorean membership grades

Published:2022 Issue:4 Volume:94 Page:
ISSN:1678-2690
Container-title:Anais da Academia Brasileira de Ciências
language:
Short-container-title:An. Acad. Bras. Ciênc.

Author:

RAMOS ADRIÁN RODRÍGUEZ¹^ORCID,LÁZARO JOSÉ M. BERNAL DE¹^ORCID,CORONA CARLOS CRUZ²^ORCID,SILVA NETO ANTÔNIO J. DA³^ORCID,LLANES-SANTIAGO ORESTES¹^ORCID

Affiliation:

1. Universidad Tecnológica de la Habana José Antonio Echeverría, Cuba

2. Faculty, E.T.S. Ingeniería Informática, España

3. Instituto Politécnico-Universidade do Estado do Rio de Janeiro (IPRJ), Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Multidisciplinary

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0001-37652022000601707&tlng=en

Reference43 articles.

1. Intuitionistic fuzzy sets;ATANASSOV K;Fuzzy Sets Syst,1986

2. On Intuitionistic Fuzzy Sets Theory;ATANASSOV K,2012

3. Optimizing kernel methods to reduce dimensionality in fault diagnosis of industrial systems;BERNAL DE LÁZARO J M;Comput Ind Eng,2015

4. Enhanced dynamic approach to improve the detection of small-magnitude faults;BERNAL DE LÁZARO J M;Chem Eng Sci,2016

5. Pattern Recognition with Fuzzy Objective Function Algorithms;BEZDEK J,1981

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