Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

A Cloud TOPSIS Method for Multiple Criteria Decision Making with Interval Number

Authors
Tie-Dan Wang, Ding-Hong Peng, Xiao-Shi Shao
Corresponding Author
Tie-Dan Wang
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.83How to use a DOI?
Keywords
TOPSIS; Cloud model; Multicriteria decision making; Distance measures
Abstract
In order to ensure the accuracy of decision-making, need to be integrated the inevitable uncertainty information and fuzzy information into their decision-making process. In view of this, this paper proposed a Cloud TOPSIS method with the decision matrix contained the uncertainty and fuzziness information on the basis of the cloud drops and cloud drops distribution. In order to mine the data deeply, it converted the interval number model to the cloud model by establishing correspondence between the cloud drops and the endpoints. Next, the novel and key technique of the Cloud TOPSIS method including normalized the cloud decision matrix, compared the size of two cloud variables and calculated the distance measure. Finally, a numerical example is given, and the result was compared with the interval TOPSIS method result, demonstrating the feasibility and effectiveness of the proposed Cloud TOPSIS method.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tie-Dan Wang
AU  - Ding-Hong Peng
AU  - Xiao-Shi Shao
PY  - 2016/12
DA  - 2016/12
TI  - A Cloud TOPSIS Method for Multiple Criteria Decision Making with Interval Number
PB  - Atlantis Press
SP  - 389
EP  - 394
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.83
DO  - https://doi.org/10.2991/icwcsn-16.2017.83
ID  - Wang2016/12
ER  -