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Solution to Multi-objective Fuzzy Optimization Dynamic Programming with Uncertain Information
Dalian, China December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.221Sixth International Conference on Par ...
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Yingwei Jin, Hong Shen, Keqiu Li, Zhongxian Chi, "Solution to Multi-objective Fuzzy Optimization Dynamic Programming with Uncertain Information," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 979-984, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.221,
author = {Yingwei Jin and Hong Shen and Keqiu Li and Zhongxian Chi},
title = {Solution to Multi-objective Fuzzy Optimization Dynamic Programming with Uncertain Information},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {979-984},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.221},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Solution to Multi-objective Fuzzy Optimization Dynamic Programming with Uncertain Information
SN - 0-7695-2405-2
SP979
EP984
A1 - Yingwei Jin,
A1 - Hong Shen,
A1 - Keqiu Li,
A1 - Zhongxian Chi,
PY - 2005
KW - uncertainty
KW - multi-objective fuzzy optimization
KW - dynamic programming
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Yingwei Jin, Graduate School of Information Science Japan Advanced Institute of Science and Technology
Hong Shen, Graduate School of Information Science Japan Advanced Institute of Science and Technology
Keqiu Li, Graduate School of Information Science Japan Advanced Institute of Science and Technology
Zhongxian Chi, Dalian University of Technology Dalian, China
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.
Index Terms:
uncertainty, multi-objective fuzzy optimization, dynamic programming
Citation:
Yingwei Jin, Hong Shen, Keqiu Li, Zhongxian Chi, "Solution to Multi-objective Fuzzy Optimization Dynamic Programming with Uncertain Information," pdcat, pp.979-984, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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