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
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