Transfer Method of Operational Simulation Experiment Scope Using Compromised Case-Based Reasoning

Authors

Jun Ma, 1.Graduate school, National Defense University, Beijing 100091;2.Joint Operations College, National Defense University, Beijing 100091;Follow
Jingyu Yang, 1.Graduate school, National Defense University, Beijing 100091;
Xi Wu, 1.Graduate school, National Defense University, Beijing 100091;

Abstract

Abstract: The scope of operational simulation experiment is usually determined by experts, which costs relatively high. In order to transfer the knowledge of experimental scope selection from historical data of operational simulation experiment to new operational experiment cases, the method of compromised case-based reasoning is proposed. According to the data characteristics of the case, the representation method of the operational simulation experiment case is proposed; according to the structure and attribute characteristics of the case, the hybrid similarity calculation method of subjective and objective comprehensive weighting is proposed; aiming at the problems of retrieval failure and less information content in the retrieval results, the case retrieval method based on compromise strategy is proposed;according to the characteristics of the retrieval results, the method of integrating and transferring retrieval results is proposed. The effectiveness of the method is proved by experimental analysis based on historical data.

Recommended Citation

Ma, Jun; Yang, Jingyu; and Wu, Xi (2022) "Transfer Method of Operational Simulation Experiment Scope Using Compromised Case-Based Reasoning," Journal of System Simulation: Vol. 34: Iss. 7, Article 18.
DOI: 10.16182/j.issn1004731x.joss.21-0040
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/18

First Page

1568

Revised Date

2021-03-29

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0040

Last Page

1581

CLC

E917

Recommended Citation

Jun Ma, Jingyu Yang, Xi Wu. Transfer Method of Operational Simulation Experiment Scope Using Compromised Case-Based Reasoning[J]. Journal of System Simulation, 2022, 34(7): 1568-1581.

DOI

10.16182/j.issn1004731x.joss.21-0040