A NEW CLASS OF TWO-STAGE EXPECTED VELUE MODEL WITH FUZZY PARAMETERS

被引：0
|
作者：
Yuan, Guo-Qiang [1 ]
Zhao, Li [2 ]
Meng, Ming-Qiang [3 ]
机构：
[1] Hebei Coll Finance, Dept Basic Courses, Baoding 071051, Peoples R China
[2] Hebei Univ, Coll Math & Comp Sci, Baoding 071002, Peoples R China
[3] Ordnance Engn Coll, Dept Basic Courses, Shijiazhuang 055003, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Capacity expansion; Credibility theory; Two-stage fuzzy optimization; Fuzzy simulations; Genetic algorithm; CAPACITY EXPANSION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To model fuzzy dynamic capacity acquisition and assignment, the paper considers a fuzzy expected value model based on credibility theory and two-stage fuzzy optimization method. After that, a solution approach, which combines fuzzy simulations, neural network (NN) and genetic algorithm (GA), is designed to solve this proposed two-stage fuzzy dynamic capacity acquisition and assignment problem. At the end of this paper, a numerical example is provided to show the feasibility and effectiveness of the algorithm.
引用
收藏
页码：515 / +
页数：2
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