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New methods for fuzzy programming problems based on order structure

  • Chong Wu*
  • , Shi Xiang Zhu
  • , Pu Chen
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Proposes a new fuzzy programming model in production systems, considering multi-objectives nonlinear programming. In the model not only the resource but also the coefficient of the function constraints is fuzzy. The fuzzy programming model is transferred into a crisp one based on the order structure of the fuzzy number sizes judgments of Yager and is solved with Matlab. It finally gives some examples to show the effectiveness and superiority of the method.

Original languageEnglish
Pages (from-to)88-90
Number of pages3
JournalHarbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume38
Issue number1
StatePublished - Jan 2006
Externally publishedYes

Keywords

  • Fuzzy multi-objective nonlinear programming
  • Fuzzy number
  • Fuzzy number order

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