Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

An Improvement of Extend TOPSIS Method for Armament System of Systems Selection with Interval Data

Authors
Pengle Zhang, Yajie Dou, Kewei Yang
Corresponding Author
Pengle Zhang
Available Online May 2014.
DOI
10.2991/lemcs-14.2014.16How to use a DOI?
Keywords
extend topsis; multiple criteria decision-making; Armament System of Systems; air-defence ASoS
Abstract

An Improvement of Extend TOPSIS (IE-TOPSIS) method is presented for Armament System of Systems (ASoS) selection. In this paper, ASoS selection problem is a multiple criteria decision-making problem. Because determining the specific value of the attribute for each ASoS is difficult, the criteria score is considered as interval vague value. The IE-TOPSIS method can deal with the interval data value score to determine the most preferable decision among all the choice. The weight is calculate with analysis of the implicit function behind the data, which is different of the classic TOPSIS method. Finally an illustrative example with interval data is shown for the Air-Defense ASoS selection problem.

Copyright
© 2014, 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 International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/lemcs-14.2014.16
ISSN
1951-6851
DOI
10.2991/lemcs-14.2014.16How to use a DOI?
Copyright
© 2014, 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  - Pengle Zhang
AU  - Yajie Dou
AU  - Kewei Yang
PY  - 2014/05
DA  - 2014/05
TI  - An Improvement of Extend TOPSIS Method for Armament System of Systems Selection with Interval Data
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 67
EP  - 71
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.16
DO  - 10.2991/lemcs-14.2014.16
ID  - Zhang2014/05
ER  -