CLC number: TP391.9
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2013-04-16
Cited: 3
Clicked: 8581
Xiao-bo Li, Yong-lin Lei, Hans Vangheluwe, Wei-ping Wang, Qun Li. A multi-paradigm decision modeling framework for combat system effectiveness measurement based on domain-specific modeling[J]. Journal of Zhejiang University Science C, 2013, 14(5): 311-331.
@article{title="A multi-paradigm decision modeling framework for combat system effectiveness measurement based on domain-specific modeling",
author="Xiao-bo Li, Yong-lin Lei, Hans Vangheluwe, Wei-ping Wang, Qun Li",
journal="Journal of Zhejiang University Science C",
volume="14",
number="5",
pages="311-331",
year="2013",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1200374"
}
%0 Journal Article
%T A multi-paradigm decision modeling framework for combat system effectiveness measurement based on domain-specific modeling
%A Xiao-bo Li
%A Yong-lin Lei
%A Hans Vangheluwe
%A Wei-ping Wang
%A Qun Li
%J Journal of Zhejiang University SCIENCE C
%V 14
%N 5
%P 311-331
%@ 1869-1951
%D 2013
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1200374
TY - JOUR
T1 - A multi-paradigm decision modeling framework for combat system effectiveness measurement based on domain-specific modeling
A1 - Xiao-bo Li
A1 - Yong-lin Lei
A1 - Hans Vangheluwe
A1 - Wei-ping Wang
A1 - Qun Li
J0 - Journal of Zhejiang University Science C
VL - 14
IS - 5
SP - 311
EP - 331
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1200374
Abstract: decision modeling is an essential part of the combat system effectiveness simulation (CoSES), which needs to cope with the cognitive quality, diversity, flexibility, and higher abstraction of decision making. In this paper, a multi-paradigm decision modeling framework is proposed to support decision modeling at three levels of abstraction based on domain-specific modeling (DSM). This framework designs a domain-specific modeling language (DSML) for decision modeling to raise the abstraction level of modeling, transforms the domain-specific models to formalism-based models to enable formal analysis and early verification and validation, and implements the semantics of the DSML based on a Python scripts framework which incorporates the decision model into the whole simulation system. The case study shows that the proposed approach incorporates domain expertise and facilitates domain modeler’s participation in CoSES to formulate the problem using DSML in the problem domain, and enables formal analysis and automatic implementation of the decision model in the solution domain.
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