Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Two-tuples Linguistic Models and Methods for Target Threat Grading Assessment

Authors
Shuqi Wang, Liang Ma
Corresponding Author
Shuqi Wang
Available Online April 2016.
DOI
https://doi.org/10.2991/emim-16.2016.120How to use a DOI?
Keywords
Target threat grading assessment; Two-tuples linguistics; Combat command and decision; Membership degree; Multiattribute comprehensive assessment; Group sorting decision
Abstract
The target threat ranking and grading assessment is the premise of the firepower allocation and also is an important part of the combat command and control system. A general model of the target threat grading assessment problem is formulated and the linear weighted comprehensive assessment method is proposed in this paper. Analyzing limitation in determination of target threat grades using the maximum membership degree principle, the target threat grading assessment model and method are proposed by introducing the definition of grade determinant values and the concept of the two-tuples linguistics. The proposed methodology may provide theory basic and intelligent support for combat command and decision and can be easily extended to solve multiattribute/criterion group sorting decision problems.
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Proceedings
6th International Conference on Electronic, Mechanical, Information and Management Society
Part of series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emim-16.2016.120How 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  - Shuqi Wang
AU  - Liang Ma
PY  - 2016/04
DA  - 2016/04
TI  - Two-tuples Linguistic Models and Methods for Target Threat Grading Assessment
BT  - 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 569
EP  - 574
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.120
DO  - https://doi.org/10.2991/emim-16.2016.120
ID  - Wang2016/04
ER  -