Paper Info
Title
Solution to Multi-objective Fuzzy Optimization Dynamic Programming with Uncertain Information
Abstract
Uncertain information will often exist in a complicated system which may result from many reasons. The accuracy of the conclusion will definitely be influenced without taking this uncertain information into consideration in the process of decision-making. By considering these uncertain factors, the solution proposed in the essay to multi-objective fuzzy optimization dynamic programming makes itself more universal.
Year
DOI
Venue
2005
10.1109/PDCAT.2005.221
PDCAT
Keywords
Field
DocType
fuzzy optimization dynamic programming,complicated system,multi-objective fuzzy optimization,uncertain factor,uncertainty,multi-objective fuzzy optimization dynamic,dynamic programming,uncertain information
Dynamic programming,Mathematical optimization,Computer science,Fuzzy set operations,Robust optimization,Fuzzy logic,Fuzzy transportation,Stochastic programming
Conference
ISBN
Citations 
PageRank 
0-7695-2405-2
2
0.48
References 
Authors
3
4
Name
Order
Citations
PageRank
Yingwei Jin16113.62
Hong Shen2880101.63
Keqiu Li31415162.02
Zhongxian Chi4788.98