Please use this identifier to cite or link to this item: https://repositorio.unifesp.br/handle/11600/36699
Title: Fuzzy costs in quadratic programming problems
Authors: Silva, Ricardo C. [UNIFESP]
Cruz, Carlos
Verdegay, Jose L.
Universidade Federal de São Paulo (UNIFESP)
Univ Granada
Keywords: Fuzzy set
Decision making
Fuzzy mathematical optimization
Quadratic programming
Efficient solutions
Issue Date: 1-Sep-2013
Publisher: Springer
Citation: Fuzzy Optimization and Decision Making. New York: Springer, v. 12, n. 3, p. 231-248, 2013.
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.
URI: http://repositorio.unifesp.br/handle/11600/36699
ISSN: 1568-4539
Other Identifiers: http://dx.doi.org/10.1007/s10700-013-9153-1
Appears in Collections:Em verificação - Geral

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