@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}
}