Optimization approaches to possibilistic linear programming problems

Optimization approaches to possibilistic linear programming problems
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可能性线性规划问题的优化方法

DOI：
10.1109/nafips.2001.943655
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发表时间：
2001
期刊：
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)
影响因子：
--
通讯作者：
H. Tanaka
H. Tanaka
中科院分区：
--
文献类型：
--
作者：
M. Inuiguchi;T. Tanino;H. Tanaka

文献摘要

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我们描述了可能性线性规划问题的优化方法。特别是，成功率的方法开发。基于松弛过程设计了给定模糊目标和未知目标下的求解算法。
We describe optimization approaches to possibilistic linear programming problems. Especially, achievement rate approaches are developed. Solution algorithms under a given fuzzy goal and under an unknown goal are designed based on the relaxation procedure.