This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both
transportation and networks. It analyzes the problems of minimum cost and maximum flow finding
with fuzzy nonzero lower flow bounds and describes solutions to minimum cost flow finding in a
network with fuzzy arc capacities and transmission costs. After a concise introduction to flow
theory and tasks the book analyzes two important problems. The first is related to determining
the maximum volume for cargo transportation in the presence of uncertain network parameters
such as environmental changes measurement errors and repair work on the roads. These
parameters are represented here as fuzzy triangular trapezoidal numbers and intervals. The
second problem concerns static and dynamic flow finding in networks under fuzzy conditions and
an effective method that takes into account the network's transit parameters is presented here.
All in all the book provides readers with a practical reference guide to state-of-the art
fuzzy methods for solving flow tasks and offers a valuable resource for all researchers and
postgraduate students in the fields of network theory fuzzy models and decision-making.
