Uncertain decision-making analysis method based on impersonal combined weight

Ju Liang Jin; Li Bing Zhang; Yi Ming Wei

Uncertain decision-making analysis method based on impersonal combined weight

Ju Liang Jin^*
, Li Bing Zhang
, Yi Ming Wei

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The essential for resolving uncertain decision-making problem is how to transform the benefit and loss matrix to the compressed real vector with one dimension. A new method (ICW-UDM) is presented for determining the natural state impersonal combined weights directly based on benefit and loss matrix. The result shows that the information of benefit and loss matrix is mined more sufficiently by using ICW-UDM than common methods. ICW-UDM is both simple and general, and its computation result is objective and stability.

Original language	English
Title of host publication	Proceedings of the 2004 Chinese Control and Decision Conference (16th CDC)
Editors	J.-Y. Yang, H.-W. Cao, J.-L. Li, Y.-H. Sun, Y.-Q. Chang
Pages	807-810
Number of pages	4
Publication status	Published - 2004
Externally published	Yes
Event	Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC) - Huangshan, China Duration: 29 May 2004 → 1 Jun 2004

Publication series

Name	Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC)

Conference

Conference	Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC)
Country/Territory	China
City	Huangshan
Period	29/05/04 → 1/06/04

Keywords

Combination weight
Genetic algorithm
Uncertain decision-making problem

Cite this

@inproceedings{3deb7e4b15f943a4961b060ac814bf97,

title = "Uncertain decision-making analysis method based on impersonal combined weight",

abstract = "The essential for resolving uncertain decision-making problem is how to transform the benefit and loss matrix to the compressed real vector with one dimension. A new method (ICW-UDM) is presented for determining the natural state impersonal combined weights directly based on benefit and loss matrix. The result shows that the information of benefit and loss matrix is mined more sufficiently by using ICW-UDM than common methods. ICW-UDM is both simple and general, and its computation result is objective and stability.",

keywords = "Combination weight, Genetic algorithm, Uncertain decision-making problem",

author = "Jin, \{Ju Liang\} and Zhang, \{Li Bing\} and Wei, \{Yi Ming\}",

year = "2004",

language = "English",

isbn = "7810545000",

series = "Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC)",

pages = "807--810",

editor = "J.-Y. Yang and H.-W. Cao and J.-L. Li and Y.-H. Sun and Y.-Q. Chang",

booktitle = "Proceedings of the 2004 Chinese Control and Decision Conference (16th CDC)",

note = "Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC) ; Conference date: 29-05-2004 Through 01-06-2004",

}

Jin, JL, Zhang, LB & Wei, YM 2004, Uncertain decision-making analysis method based on impersonal combined weight. in J-Y Yang, H-W Cao, J-L Li, Y-H Sun & Y-Q Chang (eds), Proceedings of the 2004 Chinese Control and Decision Conference (16th CDC). Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC), pp. 807-810, Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC), Huangshan, China, 29/05/04.

Uncertain decision-making analysis method based on impersonal combined weight. / Jin, Ju Liang; Zhang, Li Bing; Wei, Yi Ming.
Proceedings of the 2004 Chinese Control and Decision Conference (16th CDC). ed. / J.-Y. Yang; H.-W. Cao; J.-L. Li; Y.-H. Sun; Y.-Q. Chang. 2004. p. 807-810 (Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Uncertain decision-making analysis method based on impersonal combined weight

AU - Jin, Ju Liang

AU - Zhang, Li Bing

AU - Wei, Yi Ming

PY - 2004

Y1 - 2004

N2 - The essential for resolving uncertain decision-making problem is how to transform the benefit and loss matrix to the compressed real vector with one dimension. A new method (ICW-UDM) is presented for determining the natural state impersonal combined weights directly based on benefit and loss matrix. The result shows that the information of benefit and loss matrix is mined more sufficiently by using ICW-UDM than common methods. ICW-UDM is both simple and general, and its computation result is objective and stability.

AB - The essential for resolving uncertain decision-making problem is how to transform the benefit and loss matrix to the compressed real vector with one dimension. A new method (ICW-UDM) is presented for determining the natural state impersonal combined weights directly based on benefit and loss matrix. The result shows that the information of benefit and loss matrix is mined more sufficiently by using ICW-UDM than common methods. ICW-UDM is both simple and general, and its computation result is objective and stability.

KW - Combination weight

KW - Genetic algorithm

KW - Uncertain decision-making problem

UR - https://www.scopus.com/pages/publications/4744374718

M3 - Conference contribution

AN - SCOPUS:4744374718

SN - 7810545000

T3 - Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC)

SP - 807

EP - 810

BT - Proceedings of the 2004 Chinese Control and Decision Conference (16th CDC)

A2 - Yang, J.-Y.

A2 - Cao, H.-W.

A2 - Li, J.-L.

A2 - Sun, Y.-H.

A2 - Chang, Y.-Q.

T2 - Proceedings of the 2004 Chinese Control and Decision Conference (16thCDC)

Y2 - 29 May 2004 through 1 June 2004

ER -

Uncertain decision-making analysis method based on impersonal combined weight

Abstract

Publication series

Conference

Keywords

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