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