Bottleneck Combinatorial Optimization Problems with Fuzzy Scenarios'

被引：0
|
作者：
Kasperski, Adam [1 ]
Zielinski, Pawel [2 ]
机构：
[1] Wroclaw Univ Technol, Inst Ind Engn & Management, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland
[2] Wroclaw Univ Technol, Inst Math & Comp Sci, Wroclaw, Poland
来源：
NONLINEAR MATHEMATICS FOR UNCERTAINTY AND ITS APPLICATIONS | 2011年 / 100卷
关键词：
Bottleneck optimization; Uncertainty; Possibility theory;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a class of bottleneck combinatorial optimization problems with unknown costs is discussed. A scenario set containing all the costs realizations is specified and a possibility distribution in this scenario set is provided. Several models of uncertainty with solution algorithms for each uncertainty representation are presented.
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页码：197 / +
页数：2
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