Title :
An Algorithm for the Fuzzy Maximum Flow Problem
Author :
Hernandes, Fábio ; Lamata, Maria T. ; Takahashi, Máircia T. ; Yamakami, Akebo ; Verdegay, José L.
Author_Institution :
Univ. Estadual do Centro-Oeste, Guarapuava
Abstract :
The problem of finding the maximum flow between a source and a destination node in a network with uncertainties in its capacities is an important problem of network flows, since it has a wide range of applications in different areas (telecommunications, transportations, manufacturing, etc) and therefore deserves special attention. However, due to complexity in working with this kind of problems, there are a few algorithms in literature, which demand that the user informs the desirable maximum flow, which is difficult when the network is the large scale. In this paper, an algorithm based on the classic algorithm of Ford-Fulkerson is proposed. The algorithm uses the technique of the incremental graph and it does not request that the decisionmaker informs the desirable flow, in contrast of the main works of literature. The uncertainties of the parameters are resolved using the fuzzy sets theory.
Keywords :
data flow analysis; data flow graphs; decision making; fuzzy set theory; Ford-Fulkerson algorithm; decision making; fuzzy maximum flow problem; fuzzy set theory; incremental graph; network flow; parameter uncertainty; Computer aided manufacturing; Costs; Fuzzy set theory; Graph theory; Iterative algorithms; Large-scale systems; Telecommunication computing; Transportation; Uncertainty;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295464