TOPSIS Algorithm with Optimal Weights and its Application on Enterprises´ Performance Evaluation

Author

Zhang, Xiaorui

Author_Institution

Sch. of Manage., Changchun Inst. of Technol., Changchun

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

TOPSIS (technique for order preference by similarity to ideal solution) algorithm is a typical comprehensive evaluation method for ranking the alternatives by similarity to ideal solution. In traditional TOPSIS algorithm, the weights for each evaluation attribute are obtained by questionnaires or expert investment, which reflects the different important degree of each attributes. To overcome the subjective influence on weights, TOPSIS algorithm with optimal weights was proposed in this paper, which calculates the optimal weighting scheme for alternatives by DEA (Data Envelopment Analysis) multiplier model. Our proposed TOPSIS algorithm can identify the distance ratio for each alternative with optimal weights.

Keywords

commerce; data envelopment analysis; TOPSIS; data envelopment analysis; enterprise performance evaluation; optimal weights; technique for order preference by similarity to ideal solution; Best practices; Data envelopment analysis; Decision making; Investments; Performance evaluation; Technology management; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5073222

Filename

5073222