DocumentCode :
589356
Title :
Study on TOPSIS CCMOP Decision Model and Algorithm
Author :
Guoxin Zhang ; Liefeng Liu ; Lin Chen
Author_Institution :
Dept. 7, Guilin Air Force Acad., Guilin, China
Volume :
1
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
11
Lastpage :
13
Abstract :
In view of uncertainty or unascertained of attribute value, three tasks were accomplished with technique for order preference by similarity to an ideal solution (TOPSIS) based on credibility theory: (1)A weigh calculation model on credibility measure maximum chance-constrained multiple objective programming (CCMOP) was worked out, then it was changed into single objective decision model for calculating weight easily, (2) Considering unascertained of attribute value, a optimistic critical values ordering method based on chance was put forward, (3)A simulation hybrid algorithm of decision model on TOPSIS based on chance constrained was built.
Keywords :
decision making; mathematical programming; TOPSIS CCMOP decision model; attribute value; credibility measure; credibility theory; maximum chance constrained multiple objective programming; single objective decision model; technique for order preference by similarity to an ideal solution; weight calculation model; Biological cells; Decision making; Force measurement; Measurement uncertainty; Programming; Uncertainty; Weight measurement; MADM; TOPSIS; chance measure; chance-constrained; credibility measure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.11
Filename :
6406862
Link To Document :
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