|Table of Contents|

[1] Gong Yanbing, Chen Senfa,. Multi-attribute decision-making based on subjective andobjective integrated eigenvector method [J]. Journal of Southeast University (English Edition), 2007, 23 (1): 144-147. [doi:10.3969/j.issn.1003-7985.2007.01.029]
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Multi-attribute decision-making based on subjective andobjective integrated eigenvector method()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
23
Issue:
2007 1
Page:
144-147
Research Field:
Economy and Management
Publishing date:
2007-03-30

Info

Title:
Multi-attribute decision-making based on subjective andobjective integrated eigenvector method
Author(s):
Gong Yanbing Chen Senfa
School of Economics and Management, Southeast University, Nanjing 210096, China
Keywords:
multi-attribute decision-making eigenvector method alternative ranking
PACS:
C934
DOI:
10.3969/j.issn.1003-7985.2007.01.029
Abstract:
An integrated approach is proposed to investigate the fuzzy multi-attribute decision-making(MADM)problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix.An eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed.Two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an MADM problem.The simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked.Finally, a numerical example is given to show the feasibility and effectiveness of the method.The result shows that it is easier than other methods of integrating subjective and objective information.

References:

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Memo

Memo:
Biographies: Gong Yanbing(1979—), male, graduate;Chen Senfa(corresponding author), male, professor, chensenfa@163.com.
Last Update: 2007-03-20