Multi-dimension Multi-objective Fuzzy Optimum Dynamic Programming Method with Complicated Information Based on a Maximal-Sum-Rule of Decision Sequence Priority

被引：0
|
作者：
Jin, Yingwei [1 ]
Qu, Wenyu [2 ]
机构：
[1] Dalian Univ Technol, Dalian 116024, Peoples R China
[2] Dalian Maritime Univ, Dalian 116023, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON SCALABLE COMPUTING AND COMMUNICATIONS & EIGHTH INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTING | 2009年
关键词：
complicated information; multi-dimension multi-objective; fuzzy optimum; dynamic programming; SIMILARITY MEASURES; VAGUE SETS; ELEMENTS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Very often, huge uncertain information exists in multi-dimension multi-objective fuzzy optimum dynamic programming. Failure to take into consideration of this uncertain information will often lead to inaccurate results. Fully considering this kind of information, this paper proposes a multi-dimension multi-objective fuzzy optimum dynamic programming method under circumstances of complicated information.
引用
收藏
页码：656 / +
页数：2
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