A class of chance constrained linear bi-level programming with random fuzzy coefficients

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

1 Scopus citations

Abstract

In this paper, we consider a class of linear bi-level programming with random fuzzy coefficients, which has no mathematical meaning because of the uncertain factors. So in order to make it solvable, we introduced the linear chance constrained bi-level model. And some theorems are proposed to obtain the equivalent model. Then we employ the interactive programming technique to deal with the bi-level equivalent model. At last an illustrative example is present to show the efficiency.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Management Science and Engineering Management
EditorsVirgilio Cruz Machado, Jiuping Xu, Stefan Nickel, Asaf Hajiyev
PublisherSpringer Verlag
Pages423-433
Number of pages11
ISBN (Electronic)9783662472408
DOIs
StatePublished - 2015
Event9th International Conference on Management Science and Engineering Management, ICMSEM 2015 - Karlsruhe, Germany
Duration: 21 Jul 201523 Jul 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume362
ISSN (Print)2194-5357

Conference

Conference9th International Conference on Management Science and Engineering Management, ICMSEM 2015
Country/TerritoryGermany
CityKarlsruhe
Period21/07/1523/07/15

Keywords

  • Chance constraints
  • Interactive programming technique
  • Linear bi-level programming
  • Random fuzzy variable

Fingerprint

Dive into the research topics of 'A class of chance constrained linear bi-level programming with random fuzzy coefficients'. Together they form a unique fingerprint.

Cite this