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

Maali, Y ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ins.2014.04.032
  3. Abstract:
  4. 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
  5. Keywords:
  6. Aggregation approach ; Fuzzy goal programming ; Fuzzy satisfying optimization ; Maxmin approach ; Multi-objective linear optimization ; Type-2 fuzzy set ; Computer programming ; Fuzzy sets ; Multiobjective optimization ; Pareto principle ; Additional costs ; Linear optimization ; Max-min ; Multi-objective linear programming ; Pareto optimal solutions ; Solution strategy ; Linear programming
  7. Source: Information Sciences ; Vol. 279 , 2014 , Pages 816-826 ; ISSN: 00200255
  8. URL: http://www.sciencedirect.com/science/article/pii/S0020025514004794