A Triangular type-2 multi-objective linear programming model and a solution strategy

Yashar Maali, Nezam Mandavi-Amiri

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We consider a multi-objective linear programming model with type-2 fuzzy objectives. The considered model has the flexibility for the user to specify the more general membership functions for objectives to reflect the inherent fuzziness, while being simple and practical. We develop two solution strategies with reasonable computing costs. The additional cost, as compared to the type-1 fuzzy model, is indeed insignificant. These two algorithms compute Pareto optimal solutions of the type-2 problems, one being based on a maxmin approach and the other on aggregating the objectives. Finally, applying the proposed algorithms, we work out two illustrative examples.
Original languageEnglish
Pages (from-to)816-826
Number of pages11
JournalInformation Sciences
Volume279
DOIs
Publication statusPublished - 20 Sep 2014
Externally publishedYes

Keywords

  • Type-2 fuzzy set
  • Multi-objective linear optimization
  • Maxmin approach
  • Aggregation approach
  • Fuzzy goal programming
  • Fuzzy satisfying optimization

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