0 93. A Fuzzy Criterion for Selecting Relevant Process Parameters for the Development of Nonwoven Products
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@Article{JICS-2-93,
author = {},
title = {0 93. A Fuzzy Criterion for Selecting Relevant Process Parameters for the Development of Nonwoven Products},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {2},
number = {2},
pages = {93--102},
abstract = { In this paper, we present a new fuzzy selection criterion which takes into account both the
sensitivity of measured data and human knowledge concerning the relations between process parameters and
quality features of nonwoven product. This selection criterion permits to rank the process parameters of the
related nonwoven production line and take the most relevant ones as input variables of the model for
designing new nonwovens products. Compared with the classical selection criteria, the proposed method is
more robust and less sensitive to proximities of measurement and uncertainties. This method has been
validated using real data collected from a nonwoven process and a predefined questionnaire filled by experts.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22806.html}
}
TY - JOUR
T1 - 0 93. A Fuzzy Criterion for Selecting Relevant Process Parameters for the Development of Nonwoven Products
AU -
JO - Journal of Information and Computing Science
VL - 2
SP - 93
EP - 102
PY - 2024
DA - 2024/01
SN - 2
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22806.html
KW - relevant parameter selection, fuzzy logic, human knowledge, OWA, nonwoven materials
AB - In this paper, we present a new fuzzy selection criterion which takes into account both the
sensitivity of measured data and human knowledge concerning the relations between process parameters and
quality features of nonwoven product. This selection criterion permits to rank the process parameters of the
related nonwoven production line and take the most relevant ones as input variables of the model for
designing new nonwovens products. Compared with the classical selection criteria, the proposed method is
more robust and less sensitive to proximities of measurement and uncertainties. This method has been
validated using real data collected from a nonwoven process and a predefined questionnaire filled by experts.
. (2024). 0 93. A Fuzzy Criterion for Selecting Relevant Process Parameters for the Development of Nonwoven Products.
Journal of Information and Computing Science. 2 (2).
93-102.
doi:
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