Environment evaluation index reductions of digital workshop based on rough set

Xihui Yang, Dinghua Zhang, Changde Lu, Fang Wang, Jixiang Lu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Human-machine environment evaluation of digital workshop involves physical, chemical, psychological, social environment for the workshop and many other factors. Attribution reductions of rough set theory reduces some redundant targets which are less important to human environmental assessment, thus to obtain the important index and to improve the ergonomic effect of the environmental layout of the digital workshop and to ensure the rationality and reliability of product lines.

Original languageEnglish
Title of host publicationIFCSTA 2009 Proceedings - 2009 International Forum on Computer Science-Technology and Applications
Pages200-203
Number of pages4
DOIs
StatePublished - 2009
Event2009 International Forum on Computer Science-Technology and Applications, IFCSTA 2009 - Chongqing, China
Duration: 25 Dec 200927 Dec 2009

Publication series

NameIFCSTA 2009 Proceedings - 2009 International Forum on Computer Science-Technology and Applications
Volume1

Conference

Conference2009 International Forum on Computer Science-Technology and Applications, IFCSTA 2009
Country/TerritoryChina
CityChongqing
Period25/12/0927/12/09

Keywords

  • Attribute reduction
  • Digital workshops
  • Evaluation index reductions
  • Human-machine environmental assessment system
  • Rough set

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