An algorithm for the fuzzy maximum flow problem

被引:0
|
作者
Hernandes, Fabio [1 ]
Lamata, Maria T. [4 ]
Takahashi, Marcia T. [2 ]
Yamakami, Akebo [3 ]
Verdegay, Jose L. [4 ]
机构
[1] Univ Estadual, CtroOeste, Dept Ciencia Comp, Cx Postal 3010, BR-85010430 Guarapuava, PR, Brazil
[2] Petrobras SA, BR-20031004 Rio De Janeiro, Brazil
[3] Univ Estadual Campinas, Fac Elect & Comp Engn, BR-13081970 Campinas, SP, Brazil
[4] Univ Granada, Dept Ciencias Comp, E-18071 Granada, Spain
关键词
D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 decision-maker informs the desirable flow, in contrast of the main works of literature. The uncertainties of the parameters are resolved using the fuzzy sets theory.
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页码:775 / +
页数:3
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