广东工业大学学报 ›› 2021, Vol. 38 ›› Issue (04): 35-40.doi: 10.12052/gdutxb.210003

• • 上一篇    下一篇

综合操作者与管理者行为博弈的系统收益分析方法研究

李莎莎1, 崔铁军2   

  1. 1. 辽宁工程技术大学 工商管理学院，辽宁 葫芦岛 125105;
    2. 辽宁工程技术大学 安全科学与工程学院，辽宁 葫芦岛 125105
  • 收稿日期:2021-01-06 出版日期:2021-07-10 发布日期:2021-05-25
  • 通信作者: 崔铁军(1983-)，男，副教授，博士，主要研究方向为系统故障过程及其智能分析方法，E-mail：ctj.159@163.com E-mail:ctj.159@163.com
  • 作者简介:李莎莎(1988-)，女，讲师，博士，主要研究方向为安全系统工程和系统可靠性
  • 基金资助:
    国家自然科学基金资助项目(52004120)；辽宁省教育厅项目(LJ2020QNL018)；辽宁工程技术大学学科创新团队资助项目(LNTU20TD-31)

A Research on the Analysis Method of System Income Based on the Behavior Game Between Operators and Managers

Li Sha-sha1, Cui Tie-jun2   

  1. 1. College of Business Administration, Liaoning Technical University, Huludao 125105, China;
    2. College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China
  • Received:2021-01-06 Online:2021-07-10 Published:2021-05-25

HTML

PDF (PC)

2631

摘要： 为研究类似工程管理系统中, 操作者和管理者采取不同行为博弈对系统层面收益的影响, 提出基于空间故障网络(Space Fault Network, SFN)和博弈论的系统收益分析方法。论述了系统中操作者和管理者的意义、界定和关系, 说明了SFN表示博弈过程的可行性。确定了方法的基本参数、基本参数与事件综合收益关系、博弈逻辑关系与系统收益。操作者有安全和不安全行为, 管理者有惩罚和奖励行为, 将操作者和管理者各种行为作用于事件后的事件综合收益, 经过与或逻辑演化最终得到系统收益, 并判断收益博弈胜出者。最后通过实例分析说明了方法的流程、作用和适用性, 为研究系统收益博弈过程提供方法。

关键词: 安全系统工程, 博弈论, 两者博弈, 空间故障网络, 系统收益分析

Abstract: To study the influence of different behaviors of operators and managers in similar engineering management systems on the system level profit, an analysis method of system profit based on space fault network (SFN) and game theory is proposed. Firstly, the significance, definition and relationship of operators and managers in the system are discussed. The feasibility of SFN representing game process is shown. The basic parameters of the method, the relationship between the basic parameters and the event comprehensive profit, the game logic relationship and the system profit are determined. Operators have safe and unsafe behaviors, and managers have punishment and reward behaviors. After the operators and managers act on the event comprehensive profit, the system profit is finally obtained through and/or logical evolution, and the winner of the profit game is judged. Finally, the flow, function and applicability of the method are illustrated by an example. A method is provided for studying the process of system profit game.

Key words: safety system engineering, game theory, two game, space fault network, system profit analysis

中图分类号: 

  • F224
[1] 徐杰, 李果林. 风险收益动态视角下政府与社会资本合作演化博弈分析[J]. 软科学, 2020, 34(6): 126-130.
XU J, LI G L. An evolutionary game analysis of government and social capital cooperation under the dynamic perspective of risk-benefit [J]. Soft Science, 2020, 34(6): 126-130.
[2] 陈艳, 吕云翔, 柴访, 等. 动态激励视角下建筑工人不安全行为演化博弈分析[J]. 安全与环境工程, 2020, 27(1): 197-203.
CHEN Y, LYU Y X, CHAI F, et al. Evolutionary game analysis of unsafe behavior of construction workers from the perspective of dynamic incentives [J]. Safety and Environmental Engineering, 2020, 27(1): 197-203.
[3] 于晓辉, 杜志平, 张强, 等. 一种资源投入不确定情形下的合作博弈形式及收益分配策略[J]. 运筹学学报, 2019, 23(4): 71-85.
YU X H, DU Z P, ZHANG Q, et al. A generalized form of fuzzy cooperative game and its solution [J]. Operations Research Transactions, 2019, 23(4): 71-85.
[4] 刘佳, 王先甲. 网络博弈合作剩余收益分配的协商方法[J]. 系统工程理论与实践, 2019, 39(11): 2760-2770.
LIU J, WANG X J. A bargaining method for cooperative surplus income allocation in network game [J]. Systems Engineering-Theory & Practice, 2019, 39(11): 2760-2770.
[5] 杨柏林. 基于博弈论的新零售模式下供应链收益优化研究[D]. 吉林: 吉林大学, 2019.
[6] 何长全, 贾广社, 孙继德. 三方博弈视角下项目安全行为治理策略分析[J]. 软科学, 2019, 33(1): 87-90.
HE C Q, JIA G S, SUN J D. Governance strategy analysis of project safety behavior from the perspective of three-party game theory [J]. Soft Science, 2019, 33(1): 87-90.
[7] 杨雪, 田阳, 仝凤鸣. 基于进化博弈的矿工情绪监管与不安全行为研究[J]. 煤矿安全, 2018, 49(8): 299-302.
YANG X, TIAN Y, TONG F M. Research on miners' emotional supervision and unsafe behavior based on evolutionary game [J]. Safety in Coal Mines, 2018, 49(8): 299-302.
[8] 郑霞忠, 史高阳, 陈述. 多方博弈下起重作业人员有意不安全行为致因分析[J]. 中国安全生产科学技术, 2017, 13(5): 175-181.
ZHENG X Z, SHI G Y, CHEN S. Causation analysis on intentional unsafe behavior of crane operator under multi-parties game [J]. Journal of Safety Science and Technology, 2017, 13(5): 175-181.
[9] 盖丽丽. 基于动态博弈的矿工不安全行为研究[J]. 煤矿安全, 2016, 47(9): 251-253.
GAI L L. Research on miners' unsafe behavior based on dynamic game theory [J]. Safety in Coal Mines, 2016, 47(9): 251-253.
[10] 田水承, 赵雪萍, 黄欣, 等. 基于进化博弈论的矿工不安全行为干预研究[J]. 煤矿安全, 2013, 44(8): 231-234.
TIAN S C, ZHAO X P, HUANG X, et al. Research on miner unsafe behavior intervention based on evolutionary game theory [J]. Safety in Coal Mines, 2013, 44(8): 231-234.
[11] 高云莉, 王庆春, 王楠楠. 工程项目主体在风险管理合作中的演化博弈分析[J]. 数学的实践与认识, 2012, 42(9): 33-37.
GAO Y L, WANG Q C, WANG N N. An evolutionary game model for the risk management cooperation among the project management parties [J]. Mathematics in Practice and Theory, 2012, 42(9): 33-37.
[12] 王敏, 王卓甫, 肖建红. 建设工程管理的合作博弈决策[J]. 统计与决策, 2007(16): 65-67.
WANG M, WANG Z F, XIAO J H. Cooperative game decision of construction project management [J]. Statistics and Decision, 2007(16): 65-67.
[13] 李莎莎, 崔铁军. 基于SFN故障模式的最终事件故障概率分布确定方法[J]. 广东工业大学学报, 2020, 37(6): 9-16.
LI S S, CUI T J. The determination method for fault probability distribution of target event based on fault mode of SFN [J]. Journal of Guangdong University of Technology, 2020, 37(6): 9-16.
[14] 崔铁军, 李莎莎. 基于因素驱动的东方思维人工智能理论研究[J]. 广东工业大学学报, 2021, 38(1): 1-4.
CUI T J, LI S S. Research on the intelligent science theory of oriental thinking based on factor driven [J]. Journal of Guangdong University of Technology, 2021, 38(1): 1-4.
[15] 崔铁军, 李莎莎. 系统故障演化过程的可拓学原理[J]. 广东工业大学学报, 2020, 37(5): 1-6.
CUI T J, LI S S. An extension theory of system fault evolution process [J]. Journal of Guangdong University of Technology, 2020, 37(5): 1-6.
[16] 崔铁军. 系统故障演化过程描述方法研究[J]. 计算机应用研究, 2020, 37(10): 3006-3009.
CUI T J. Research on description method of system fault evolution process [J]. Application Research of Computers, 2020, 37(10): 3006-3009.
[17] CUI T J, LI S S. Research on complex structures in space fault network for fault data mining in system fault evolution process [J]. IEEE Access, 2019, 7(1): 121881-121896.
[18] 崔铁军, 李莎莎. 空间故障树与空间故障网络理论综述[J]. 安全与环境学报, 2019, 19(2): 399-405.
CUI T J, LI S S. A Survey of space fault tree and space fault network [J]. Journal of Safety and Environment, 2019, 19(2): 399-405.
[19] 崔铁军, 李莎莎, 朱宝岩. 含有单向环的多向环网络结构及其故障概率计算[J]. 中国安全科学学报, 2018, 28(7): 19-24.
CUI T J, LI S S, ZHU B Y. Multidirectional ring network structure with one-way ring and its fault probability calculation [J]. China Safety Science Journal, 2018, 28(7): 19-24.
[20] CUI T J, LI S S. System movement space and system mapping theory for reliability of IoT [J]. Future Generation Computer Systems, 2020, 107: 70-81.
[21] 何华灿. 重新找回人工智能的可解释性[J]. 智能系统学报, 2019, 14(3): 393-412.
HE H C. Refinding the interpretability of artificial intelligence [J]. CAAI Transactions on Intelligent Systems, 2019, 14(3): 393-412.
[22] 何华灿. 泛逻辑学理论——机制主义人工智能理论的逻辑基础[J]. 智能系统学报, 2018, 13(1): 19-36.
HE H C. Universal logic theory — logical foundation of mechanism-based artificial intelligence theory [J]. CAAI Transactions on Intelligent Systems, 2018, 13(1): 19-36.
[1] 徐慧婷. 基于F2F的生鲜电商三级供应链决策及协调研究[J]. 广东工业大学学报, 2022, 39(03): 25-31.
[2] 李明磊, 章阳, 康嘉文, 徐敏锐, Dusit Niyato. 基于多智能体强化学习的区块链赋能车联网中的安全数据共享[J]. 广东工业大学学报, 2021, 38(06): 62-69.
[3] 李莎莎, 崔铁军. 基于SFN故障模式的最终事件故障概率分布确定方法[J]. 广东工业大学学报, 2020, 37(06): 9-16.
[4] 崔铁军, 李莎莎. 系统故障演化过程的可拓学原理[J]. 广东工业大学学报, 2020, 37(05): 1-6.
[5] 王娜娜, 刘巍, 仇金龙. 关于航空客座率的不相容问题的研究[J]. 广东工业大学学报, 2019, 36(02): 9-13.
[6] 杨洪志，刘玮. 伦敦奥运会羽毛球消极比赛事件的可拓策略分析[J]. 广东工业大学学报, 2013, 30(2): 7-12.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2017 《广东工业大学学报》编辑部
地址：广州市东风东路729号广东工业大学 邮编：510090
电话：020-37626653,020-37626139,020-37626396
邮箱：xbzrb@gdut.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发