Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

A hybrid method using FAHP and TOPSIS for project selection

Authors
Xuan Li, Jiang Jiang, Su Deng
Corresponding Author
Xuan Li
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.40How to use a DOI?
Keywords
project selection, FAHP, TOPSIS.
Abstract

Like any other forms of decision analysis that involve multiple criteria, project selection is an unstructured, complex decision problem with lots of aspects that must be taken into consideration. A hybrid method combining fuzzy analytic hierarchy process (FAHP) and the technique for preference by similarity to ideal solution (TOPSIS) is proposed to solve this problem. FAHP is used to analyze the problem and meanwhile to determine the criteria weights. TOPSIS is applied to rank all the given alternatives and determine the appropriate one. A case is studied to demonstrate the usefulness and effectiveness of the hybrid method.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.40How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xuan Li
AU  - Jiang Jiang
AU  - Su Deng
PY  - 2016/02
DA  - 2016/02
TI  - A hybrid method using FAHP and TOPSIS for project selection
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 206
EP  - 211
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.40
DO  - 10.2991/iccsae-15.2016.40
ID  - Li2016/02
ER  -