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带有最小风险准则的两阶段模糊运输模型

袁国强 肖倩 刘强

计算机工程与应用2011,Vol.47Issue(35):63-66,4.
计算机工程与应用2011,Vol.47Issue(35):63-66,4.DOI:10.3778/j.issn.1002-8331.2011.35.019

带有最小风险准则的两阶段模糊运输模型

Two-stage fuzzy transportation model with minimum risk criteria

袁国强 1肖倩 2刘强1

作者信息

  • 1. 河北金融学院基础部,河北保定071051
  • 2. 河北省科技金融重点实验室,河北保定071051
  • 折叠

摘要

Abstract

Based on credibility theory and two-stage fuzzy optimization method,this paper presents a new class of two-stage fuzzy transportation model with minimum risk criteria.Since the proposed transportation peoblem includes fuzzy variable parameters with infinite supports in this paper.it is infinite-dimensional optimization problem.In order to solve this fuzzy pro gramming problem, the approximation approach of two-stage fuzzy transportation problem is discussed and embeded into a genetic algorithm to produce hybrid algorithm for solving the proposed two-stage fuzzy transportation problem with minimum risk criteria.A numerical example is given to show the practicality of the designed model and algorithm.

关键词

运输问题/两阶段模糊优化/逼近方法/最小风险准则/遗传算法

Key words

transportation problem/two-stage fuzzy optimization/approximation approach/minimum risk criteria/genetic algorithm

分类

数理科学

引用本文复制引用

袁国强,肖倩,刘强..带有最小风险准则的两阶段模糊运输模型[J].计算机工程与应用,2011,47(35):63-66,4.

基金项目

河北省高等学校自然科学研究青年基金项目(No.2010124) (No.2010124)

河北省自然科学基金(No.A2008000563). (No.A2008000563)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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