Fuzzy costs in quadratic programming problems

  • Authors:

  • Ricardo C. Silva;Carlos Cruz;José L. Verdegay

  • Affiliations:

  • Institute of Science and Technology, Federal University of São Paulo, São José dos Campos, Brazil 12231-280;Department of Computer Science and Artificial Intelligence, CITIC---University of Granada, Granada, Spain 18071;Department of Computer Science and Artificial Intelligence, CITIC---University of Granada, Granada, Spain 18071

  • Venue:
  • Fuzzy Optimization and Decision Making
  • Year:
  • 2013

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Abstract

Although quadratic programming problems are a special class of nonlinear programming, they can also be seen as general linear programming problems. These quadratic problems are of the utmost importance in an increasing variety of practical fields. As, in addition, ambiguity and vagueness are natural and ever-present in real-life situations requiring operative solutions, it makes perfect sense to address them using fuzzy concepts formulated as quadratic programming problems with uncertainty, i.e., as Fuzzy Quadratic Programming problems. This work proposes two novel fuzzy-sets-based methods to solve a particular class of Fuzzy Quadratic Programming problems which have vagueness coefficients in the objective function. Moreover, two other linear approaches are extended to solve the quadratic case. Finally, it is shown that the solutions reached from the extended approaches may be obtained from two proposed parametric multiobjective approaches.