Title :
Solution to Multi-objective Fuzzy Optimization Dynamic Programming with Uncertain Information
Author :
Jin, Yingwei ; Shen, Hong ; Li, Keqiu ; Chi, Zhongxian
Author_Institution :
Graduate School of Information Science Japan Advanced Institute of Science and Technology
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.
Keywords :
dynamic programming; multi-objective fuzzy optimization; uncertainty; Computer science; Decision making; Decision support systems; Dynamic programming; Fuzzy systems; Information science; Optimization methods; Uncertainty; dynamic programming; multi-objective fuzzy optimization; uncertainty;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies, 2005. PDCAT 2005. Sixth International Conference on
Print_ISBN :
0-7695-2405-2
DOI :
10.1109/PDCAT.2005.221