Paper Info
Title
Multi-dimension Multi-objective Fuzzy Optimum Dynamic Programming Method with Complicated Information Based on a Maximal-Sum-Rule of Decision Sequence Priority
Abstract
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.
Year
DOI
Venue
2009
10.1109/EmbeddedCom-ScalCom.2009.125
ScalCom-EmbeddedCom
Keywords
Field
DocType
complicated information,inaccurate result,fuzzy set theory,multidimension multiobjective fuzzy optimum dynamic programming method,multi-dimension multi-objective fuzzy optimum,fuzzy optimum dynamic programming,decision sequence priority,fuzzy optimum,maximal-sum-rule,multi-dimension multi-objective,dynamic programming,huge uncertain information,uncertain information,dynamic programming method,dynamic,fuzzy sets,mathematical model,data mining
Sum rule in quantum mechanics,Dynamic programming,Mathematical optimization,Computer science,Fuzzy logic,Fuzzy set
Conference
ISBN
Citations 
PageRank 
978-0-7695-3825-9
1
0.35
References 
Authors
4
2
Name
Order
Citations
PageRank
Yingwei Jin16113.62
Wenyu Qu257666.94