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An Efficient Elimination of Input Data in the OWA Aggregation
San Jose, California November 02-November 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.932007 IEEE International Conference on ...
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Byeong Seok Ahn, "An Efficient Elimination of Input Data in the OWA Aggregation," Granular Computing, IEEE International Conference on, pp. 120, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/GrC.2007.93,
author = {Byeong Seok Ahn},
title = {An Efficient Elimination of Input Data in the OWA Aggregation},
journal ={Granular Computing, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-3032-X},
pages = {120},
doi = {http://doi.ieeecomputersociety.org/10.1109/GrC.2007.93},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Granular Computing, IEEE International Conference on
TI - An Efficient Elimination of Input Data in the OWA Aggregation
SN - 0-7695-3032-X
SP
EP
A1 - Byeong Seok Ahn,
PY - 2007
VL - 0
JA - Granular Computing, IEEE International Conference on
ER -
 
In the paper, we present an efficient method for pruning multiple alternatives in the OWA aggregation. The proposed method intends to identify inferior alternatives per se and diminish the number of alternatives without any efforts to exploit the OWA operator weights from decision maker. The efficacy of the proposed method is verified by simulation analysis in which different levels of alternatives and different levels of criteria are used.
Citation:
Byeong Seok Ahn, "An Efficient Elimination of Input Data in the OWA Aggregation," grc, pp.120, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
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