Abstract
This chapter deals with the so-called distribution problem, which belong to the wide class of the logistic problems.
It is known that distribution and transportation problems have similar mathematical structures and are usually treated as particular cases of the general linear programming problem.
There are many effective algorithms for the solution of transportation and distribution problems proposed in the scientific literature and in the textbooks. So we can say that these problems in the case of real valued parameters are, generally, solved. Nevertheless, in practice, we often meet different kinds of uncertainty when the parameters of these optimization problems are presented by intervals or fuzzy values.
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Dymowa, L. (2011). Interval and Fuzzy Arithmetic in Logistic. In: Soft Computing in Economics and Finance. Intelligent Systems Reference Library, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17719-4_5
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