Abstract
The purpose of the paper is to present some approaches for multiobjective fractional programming with set coefficients in the objective functions. Among other cases, we discuss for linear fractional multiobjective programming some conservative and nonconservative approaches related to Soyster’s mathematical programming with set-inclusive constraints and Dantzig’s generalized linear programming, respectively. The vectorial max-min optimization will be also used as a conservative approach for inexact multiobjective programming. In particular, the conservative approach will be applied to mathematical programming with nondecreasing objectives with respect to the inexact coefficients. Linear-fractional objective functions will be studied from both points of view (conservative and nonconservative). Also, some applications to the fuzzy linear-fractional multiobjective programming will be suggested.
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Stancu-Minasian, I.M., Tigan, S. (1994). Fractional programming under uncertainty. In: Komlósi, S., Rapcsák, T., Schaible, S. (eds) Generalized Convexity. Lecture Notes in Economics and Mathematical Systems, vol 405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46802-5_25
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DOI: https://doi.org/10.1007/978-3-642-46802-5_25
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