Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (5): 1161-1172.doi: 10.23919/JSEE.2022.000112

• SYSTEMS ENGINEERING • Previous Articles     Next Articles

Operational effectiveness evaluation based on the reduced conjunctive belief rule base

Ziwei ZHANG1,2(), Qisheng GUO1,*(), Zhiming DONG1(), Hongxiang LIU3(), Ang GAO1(), Pengcheng QI1()   

  1. 1 Military Exercise and Training Center, Army Academy of Armored Forces, Beijing 100072, China
    2 Unit 32128 of the PLA, Ji’nan 250024, China
    3 Department of Equipment Support and Remanufacture, Army Academy of Armored Forces, Beijing 100072, China
  • Received:2021-11-15 Accepted:2022-06-13 Online:2022-10-27 Published:2022-10-27
  • Contact: Qisheng GUO E-mail:41872293@qq.com;Qisheng.Guo@163.com;dong_zhiming@163.com;13811816672@139.com;15689783388@163.com;13573129023@139.com
  • About author:|ZHANG Ziwei was born in 1986. He received his M.S. degree in Shandong University. He is pursuing his Ph.D. degree in Army Academy of Arm-ored Forces. His research interests are equipment tests and operational effectiveness evaluation. E-mail: 41872293@qq.com||GUO Qisheng was born in 1962. He received his Ph.D. degree from Tsinghua University. He is currently a professor in Army Academy of Armored Forces. His research interests are equipment requirement demonstration and equipment tests. E-mail: Qisheng.Guo@163.com||DONG Zhiming was born in 1977. He received his Ph.D. degree from Army Academy of Armored Forces. He is currently a professor in Army Academy of Armored Forces. His research interests are equipment requirement demonstration and equipment tests. E-mail: dong_zhiming@163.com||LIU Hongxiang was born in 1987. He received his M.S. degree from Army Academy of Armored Forces. He is currently an associate professor in Army Academy of Armored Forces. His research interest is equipment support technology. E-mail: 13811816672@139.com||GAO Ang was born in 1988. He received his M.S. degree in Army Academy of Armored Forces. He is pursuing his Ph.D. degree in Army Academy of Armored Forces. His research interest is the intelligent decision of computer-generated force based on multi-agent deep reinforcement learning. E-mail: 15689783388@163.com||QI Pengcheng was born in 1990. He received his B.S. degree in electrical engineering and automation in Army Academy of Armored Forces. He is a M.S. candidate in Army Academy of Armored Forces. His research interest is operational effectiveness evaluation. E-mail: 13573129023@139.com
  • Supported by:
    This work was supported by the Military Scientific Research Program (41401020301).

Abstract:

To address the issue of rule premise combination explosion in the construction of the traditional complete conjunctive belief rule base (BRB), this paper introduces an orthogonal design method to reduce the conjunctive BRB. The reasoning method based on reduced conjunctive BRB is designed with the help of the conversion technology from conjunctive BRB to disjunctive BRB. Finally, the operational mission effectiveness evaluation is taken as an example to verify the proposed method. The results show that the method proposed in this paper is feasible and effective.

Key words: operational effectiveness evaluation, reduced conjunctive belief rule base (BRB), orthogonal design, evidence reasoning (ER)