DocumentCode :
2515934
Title :
Multi-dimension Multi-objective Fuzzy Optimum Dynamic Programming Method with Complicated Information Based on a Maximal-Sum-Rule of Decision Sequence Priority
Author :
Jin, Yingwei ; Qu, Wenyu
Author_Institution :
Dalian Univ. of Technol., Dalian, China
fYear :
2009
fDate :
25-27 Sept. 2009
Firstpage :
656
Lastpage :
660
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.
Keywords :
dynamic programming; fuzzy set theory; decision sequence priority; maximal-sum-rule; multidimension multiobjective fuzzy optimum dynamic programming method; Decision making; Dynamic programming; Eigenvalues and eigenfunctions; Embedded computing; Gallium nitride; complicated information; dynamic; fuzzy optimum; multi-dimension multi-objective;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009. SCALCOM-EMBEDDEDCOM'09. International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-3825-9
Type :
conf
DOI :
10.1109/EmbeddedCom-ScalCom.2009.125
Filename :
5341869
Link To Document :
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