Optimizing resource acquisition decisions by two-stage fuzzy programming

被引：0
|
作者：
Sun, Gao-Ji [1 ]
Liu, Yan-Kui [1 ]
机构：
[1] Hebei Univ, Coll Math & Comp Sci, Baoding 071002, Hebei, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
关键词：
resource acquisition; credibility theory; two-stage fuzzy programming; tabu search;
D O I：
10.1109/ICMLC.2008.4620747
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on credibility theory, this paper reports on the application of fuzzy programming with recourse to strategic planning decisions regarding resource acquisition. To solve the two-stage fuzzy programming problem, a heuristic solution method which combines approximating method (AM), tabu search (TS) and neural network (NN), is proposed. At the end of the paper, we provide one numerical example to illustrate the feasibility and effectiveness of the designed algorithm.
引用
收藏
页码：2073 / 2078
页数：6
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