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
Ziwei ZHANG1,2(), Qisheng GUO1,*(), Zhiming DONG1(), Hongxiang LIU3(), Ang GAO1(), Pengcheng QI1()
|1||MIAO J M, SHEN B Z, JIA G W, et al An evaluation method of system contribution rate based on task completion degree. Proc. of the 8th China Command and Control Conference, 2020, 589- 593.|
|2||WANG H, YANG Y L, ZHANG Q B, et al Operational efficiency evaluation of the air assault brigade based on fuzzy comprehensive evaluation. Journal of Information Engineering University, 2021, 22 (3): 369- 373.|
|3||QI Z F, WANG G S Effectiveness evaluation of electronic warfare command and control system based on grey AHP method. Journal of Chemical and Pharmaceutical Research, 2014, 6 (7): 535- 542.|
FENG Z C, HE W, ZHOU Z J, et al A new safety assessment method based on belief rule base with attribute reliability. IEEE/CAA Journal of Automatica Sinica, 2021, 8 (11): 1774- 1785.
|5||ZHOU Z J, CAO Y, HU G Y, et al New health-state assessment model based on belief rule base with interpretability. Science China Information Sciences, 2021, 64 (7): 209- 223.|
|6||YANG J B, XU D L Nonlinear information aggregation via evidential reasoning in multi-attribute decision analysis under uncertainty. IEEE Trans. on Systems, Man & Cybernetics, 2002, 32 (3): 372- 393.|
YANG J B, LIU J, WANG J, et al Belief rule-base inference methodology using the evidential reasoning approach-RIMER. IEEE Trans. on Systems, Man & Cybernetics-Part A: Systems & Humans, 2006, 36 (2): 266- 285.
CHANG L L, SUN J B, JIANG J, et al Parameter learning for the belief rule base system in the residual life probability prediction of metalized film capacitor. Knowledge-Based Systems, 2015, 73 (1): 69- 80.
|9||LIU J D, HAO J G, HUANG J Equipment battle damage assessment based on belief rule base reasoning. Computer Systems & Applications, 2022, 31 (4): 213- 220.|
|10||CHANG L L, ZHOU Z J, CHEN Y W, et al Belief rule base structure and parameter joint optimization under disjunctive assumption for nonlinear complex system modeling. IEEE Trans. on Systems, Man & Cybernetics: Systems, 2018, 48 (9): 1542- 1554.|
CHANG L L, ZHOU Z J Akaike information criterion-based conjunctive belief rule base learning for complex system modeling. Knowledge-Based Systems, 2018, 161 (12): 47- 64.
CHANG L L, ZHOU Y, JIANG J, et al Structure learning for belief rule base expert system: a comparative study. Knowledge-Based Systems, 2013, 39 (2): 159- 172.
|13||WANG Y M, YANG L H, FU Y G, et al Dynamic rule adjustment approach for optimization belief rule-base expert system. Knowledge-Based Systems, 2016, 9 (3): 40- 60.|
LI G L, ZHOU Z J, HU C C, et al A new safety assessment model for complex system based on the conditional generalized minimum variance and the belief rule base. Safety Science, 2017, 93 (3): 108- 120.
|15||ZHOU Z J, CAO Y, HU G Y, et al. New health-state assessment model based on belief rule base with interpretability. Science China Information Sciences, 2021, 64: 172214.|
|16||CHANG L L, ZHANG L M, FU C, et al. Transparent digital twin for output control using belief rule base. IEEE Trans. on Cybernetics, 2021. DOI: 10.1109/TCYB.2021.3063285.|
CHENG X Y, LIU S S, HE W, et al A model for flywheel fault diagnosis based on fuzzy fault tree analysis and belief rule base. Machines, 2022, 10 (2): 73.
|18||FU Y G, YIN Z F, SU M N, et al. Construction and reasoning approach of belief rule-base for classification base on decision tree. IEEE Access, 2020, 8: 138046–138057.|
|19||YANG L H, LIU J, YE F F, et al. Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme. Knowledge-Based Systems, 2022, 240(3): 107805.|
CAO Y, ZHOU Z J, HU C H, et al A new approximate belief rule base expert system for complex system modelling. Decision Support Systems, 2021, 150 (11): 113558.
FENG Z C, ZHOU Z J, HU C H, et al A new belief rule base model with attribute reliability. IEEE Trans. on Fuzzy Systems, 2019, 27 (5): 903- 916.
WANG J C, WU C F J Nearly orthogonal arrays with mixed levels and small runs. Technometrics, 1992, 34 (4): 409- 422.
MA C X, FANG K T, LISKI E A new approach in orthogonal and nearly orthogonal arrays. Metrika, 2000, 50, 255- 268.
XU H Q An algorithm for constructing orthogonal and nearly-orthogonal arrays with mixed levels and small runs. Technometrics, 2002, 44 (4): 356- 368.
|25||ARORA T, SONI R. A pre-screening approach for COVID-19 testing based on belief rule-based expert system. Lecture Notes on Data Engineering and Communications Technologies, 2020, 60(12): 19−28.|
|26||YANG Y, FU C, CHEN Y W, et al A belief rule based expert system for predicting consumer preference in new product development. Knowledge-Based Systems, 2016, 94 (2): 105- 113.|
YANG L H, WANG Y M, FU Y G A consistency analysis-based rule activation method for extended belief-rule-based systems. Information Sciences, 2018, 445/446 (6): 50- 65.
|28||ZHU W, HOU P Z, CHANG L L, et al Disjunctive belief rule base optimization by ant colony optimization for railway transportation safety assessment. Proc. of the 31st China Control and Decision Making Conference, 2019, 822- 826.|
|29||WANG X Y, SUN J B, YOU Y Q, et al A new approach for disjunctive belief rule base construction with incomplete conjunctive belief rule base. Proc. of the 31st China Control and Decision Making Conference, 2019, 397- 402.|
|30||ZHANG Z W, LI L, DONG Z M, et al. Research on the construction method of simulation evaluation index of operation effectiveness of operation concept traction. Modern Education Management, 2022, 34(3): 603−613. (in Chinese)|
|No related articles found!|