基于改进可能度函数的战略投送力量灰色聚类评估研究

doi:10.16381/j.cnki.issn1003-207x.2022.0796

Abstract

Abstract:

It focuses on the construction of strategic delivery force in this paper， aiming to specify the current construction level by using the grey cluster evaluation. The result can be used for providing support for decisions about the formulation of future target improvement measures. Firstly， a three-layer index system is proposed to describe the characteristics of the strategic delivery force about composition structure， the delivery process and sources of the materials which are going to be delivered. Secondly， the traditional possibility functions employed in the grey clustering evaluation have been modified to overcome the drawback that they are not able to express the uncertain factors which origin from multiple sources. Then， the detailed implementation steps of the newly developed improved possibility function based grey clustering evaluation of strategic delivery force are presented. At last， the practicability and effectiveness of the proposed method are demonstrated through a numerical analysis with regard to a key element of the index system. Finally， the practicability and effectiveness of the proposed method are verified by numerical analysis of a core component of the index system.

Key words: strategic delivery, uncertainty, grey clustering evaluation, possibility function, grey number

CLC Number:

C935

Youchun Zeng,Zhigeng Fang,Yingsai Cao. Research on Grey Clustering Evaluation of Strategic Delivery Force Based on Improved Possibility Function[J]. Chinese Journal of Management Science, 2026, 34(5): 134-143.

Figures/Tables 14

参数	$x 11 - 3 1 (⊗)$	$x 11 - 2 2 (⊗)$	$x 12 - 4 1 (⊗)$
范围	[5，7]	[3，8]	[3,5.5]
参数	$x 12 - 3 2 (⊗)$	$x 13 - 1 2 (⊗)$	$x 21 - 3 1 (⊗)$
范围	[4，7]	[6.5,9.5]	[4，6]
参数	$x 21 - 2 2 (⊗)$	$x 22 - 4 1 (⊗)$	$x 22 - 3 2 (⊗)$
范围	[5，9]	[2.5,3.5]	[3.9,7.1]
参数	$x 23 - 1 2 (⊗)$	$x 31 - 3 1 (⊗)$	$x 31 - 2 2 (⊗)$
范围	[7.3,9.2]	[2.5,5]	[7,8.5]
参数	$x 32 - 4 1 (⊗)$	$x 32 - 3 2 (⊗)$	$x 33 - 1 2 (⊗)$
范围	[0.5, 2.1]	[3,7.4]	[6.9,8.5]

References 30

[1]	徐梦桢. 空中战略投送装卸保障方案优化研究［D］.南京：南京邮电大学，2021.
	Xu M Z. Research on optimization of air strategic delivery loading and unloading support scheme［D］. Nanjing：Nanjing University of Posts and Telecommunications，2021.
[2]	刘博文，程万里. 运输投送设施体系战时保障能力评估［J］. 军事交通学院学报， 2020（4）： 25-30.
	Liu B W， Cheng W L. Support capacity evaluation of transportation delivery facility system in wartime［J］. Journal of Military Transportation University， 2020（4）： 25-30.
[3]	陆挺，王力，陶露菁. 联合作战运输投送筹划指挥信息系统构建［J］. 指挥信息系统与技术， 2019， 10（3）： 6-10.
	Lu T， Wang L， Tao L J. Command information system construction for joint operation transportation delivery planning［J］. Command Information System and Technology， 2019， 10（3）： 6-10.
[4]	张炜钟，彭富兵. 战略投送基地保障能力仿真评估［J］. 军事交通学院学报， 2017（12）： 1-5.
	Zhang W Z， Peng F B. Simulation evaluation of support capacity for strategic projection base［J］. Journal of Military Transportation University， 2017（12）： 1-5.
[5]	郑旭，孙跃坤. 战略投送力量综合评估策略［J］. 军事交通学院学报， 2016（3）： 1-5.
	Zheng X， Sun Y K. Comprehensive evaluation strategy of strategic projection power［J］. Journal of Military Transportation University， 2016（3）： 1-5.
[6]	郭鹏飞，彭富兵，米宏，等. 基于Flexsim的战略投送基地物资转运能力评估［J］. 军事交通学院学报， 2016， 18（1）： 53-57.
	Guo P F， Peng F B， Mi H， et al. Evaluation of materials transfer capability in strategic projection base with flexsim［J］. Journal of Military Transportation University， 2016， 18（1）： 53-57.
[7]	杨智，魏旭冠. 基于蒙特卡罗的战略投送能力动态评估方法［J］. 军事运筹与系统工程， 2015， 29（3）： 42-45.
	Yang Z， Wei X G. Dynamic evaluation method of strategic delivery ability based on Monte Carlo［J］. Military Operations Research and Systems Engineering， 2015， 29（3）： 42-45.
[8]	秦超，王敏，陈明，等. 基于D-S证据理论的战略投送基地物资预储不确定需求影响度评估［J］. 物流技术， 2015， 34（18）： 167-170+201.
	Qin C， Wang M， Chen M， et al. Evaluation of influence of uncertain demand for material reserve at strategic delivery depots based on D-S evidence theory［J］. Logistics Technology， 2015， 34（18）： 167-170+201.
[9]	徐鹏，王维俊. 基于SWOT模型的战略投送力量建设环境分析及评估［J］. 军事运筹与系统工程， 2015， 29（1）： 13-17+39.
	Xu P， Wang W J. Analysis and evaluation on the construction environment of strategic delivery force based on SWOT model［J］. Military Operations Research and Systems Engineering， 2015， 29（1）： 13-17+39.
[10]	王春颖，陈兆仁. 面向过程的战略投送能力评估指标体系及评估方法研究［J］. 军事运筹与系统工程， 2013， 27（1）： 10-15.
	Wang C Y， Chen Z R. Research on process-oriented evaluation index system and evaluation method of strategic delivery ability［J］. Military Operations Research and Systems Engineering， 2013， 27（1）： 10-15.
[11]	管井标，周赤非，许瑞明，等. 战略投送能力评估方法研究［J］. 军事运筹与系统工程， 2011， 25（2）： 76-80.
	Guan J B， Zhou C F， Xu R M， et al. Research on evaluation method of strategic delivery capability［J］. Military Operations Research and Systems Engineering， 2011， 25（2）： 76-80.
[12]	田玺环. 基于陆海协同的海上战略投送方案优化研究［D］. 大连：大连海事大学， 2019.
	Tian X H. Research of the scenario optimization for maritime strategic delivery based on land-sea coordination［D］. Dalian： Dalian Maritime University， 2019.
[13]	刘思峰. 灰色系统理论及其应用［M］. 9版. 北京：科学出版社， 2021.
	Liu S F. Grey system theory and its application［M］. 9th ed. Beijing： Science Press， 2021.
[14]	李化涛. 红外空空导弹武器系统作战效能评估研究［D］. 南京：南京航空航天大学， 2019.
	Li H T. Research on combat effectiveness evaluation of infrared air-to-air missile weapon system［D］. Nanjing： Nanjing University of Aeronautics and Astronautics， 2019.
[15]	刘翔翔. 基于两阶段灰色聚类模型的健康管理社区卫生服务评价研究［D］. 武汉：武汉大学， 2019.
	Liu X X. Effect evaluation on health management community health services based on a two-stage grey clustering mode［D］. Wuhan： Wuhan University， 2019.
[16]	宋宇飞. 基于ANP-灰色聚类评估的住宅产业化成熟度评价研究［D］. 郑州：郑州大学， 2018.
	Song Y F. Study on maturity evaluation of housing industrialization based on ANP-grey clustering evaluation［D］. Zhengzhou： Zhengzhou University， 2018.
[17]	邵敏兰. 基于三角白化权函数的中国旱涝气象灾害风险评估与区划研究［D］. 南京：南京信息工程大学， 2014.
	Shao M L. Based on triangular whitenization weight function of the China drought and flood meteorological disaster aisk assessment and zoning［D］. Nanjing： Nanjing University of Information Science & Technology， 2014.
[18]	朴惠淑，李继春，王婧，等. 基于标准的A级物流企业灰色聚类评估方法［J］. 大连海事大学学报， 2013， 39（4）： 127-130.
	Piao H S， Li J C， Wang J， et al. Grey clustering assessment approach of A-grade logistics enterprises based on standard［J］. Journal of Dalian Maritime University， 2013， 39（4）： 127-130.
[19]	常沙，宋彬，黎鑫. 气象海洋作战仿真环境复杂性评估及分级方法［J］. 系统工程理论与实践， 2021， 41（7）： 1868-1881.
	Chang S， Song B， Li X. Complexity evaluation and classification method of meteorology and ocean operational simulation environments［J］.Systems Engineering- Theory & Practice， 2021， 41（7）： 1868-1881.
[20]	詹湘琳，孟彦君，张伟业. 改进灰色聚类法的飞机液压能源系统效能评估［J］. 计算机仿真， 2021， 38（7）： 45-49.
	Zhan X L， Meng Y J， Zhang W Y. Effectiveness evaluation of aircraft hydraulic energy system based on improved grey clustering method［J］. Computer Simulation， 2021， 38（7）： 45-49.
[21]	李桂炎. 基于灰色聚类分析的乡村建设工程施工安全改进优先序研究［D］. 哈尔滨：哈尔滨工业大学， 2021.
	Li G Y. Research on the priority order of construction safety improvement of rural construction engineering based on grey cluster analysis［D］. Harbin： Harbin Institute of Technology， 2021.
[22]	Lin C H， Wu C H， Huang P Z. Grey clustering analysis for incipient fault diagnosis in oil-immersed transformers［J］. Expert Systems with Applications， 2009， 36（2）： 1371-1379.
[23]	Bao X. Grey clustering evaluation of prefabricated building construction safety based on anp［J］. Journal of Physics： Conference Series， 2022， 2202（1）： 012031.
[24]	Asare E A， Bin Assim Z， Wahi R B， et al. Application of fuzzy evaluation technique and grey clustering method for water quality assessment of the coastal and estuaries of selected rivers in Sarawak［J］. Bulletin of the National Research Centre， 2021， 45（1）： 156.
[25]	Xu L. Quantitative evaluation method for coordinated development of ecological economy in mountainous areas based on grey clustering analysis［J］. Arabian Journal of Geosciences， 2021， 14（7）： 614.
[26]	Kumar A. Transition management theory-based policy framework for analyzing environmentally responsible freight transport practices［J］. Journal of Cleaner Production， 2021， 294： 126209.
[27]	Liu S， Yang Y， Forrest J. Grey Data Analysis［M］. Singapore： Springer Singapore， 2017.
[28]	海军. 部队战略投送模式问题探析［J］. 国防交通工程与技术， 2013， 11（5）： 8-10+47.
	Hai J. An exploration into the modes of the strategic projection of the army［J］. Traffic Engineering and Technology for National Defence， 2013， 11（5）： 8-10+47.
[29]	Fang Z G， Liu S F， Shi H X， et al. Grey Game Theory and Its Applications in Economic Decision-Making［M］.New York： Auerbach Publication， 2009.
[30]	李丽娟. 基于层次分析法的城镇污水处理项目后评价体系研究［D］. 昆明：昆明理工大学， 2021.
	Li L J. Study on post-evaluation system of urban sewage treatment project based on analytic hierarchy process［D］. Kunming： Kunming University of Science and Technology， 2021.

评价对象	一级指标	二级指标	三级指标
战略投送力量	公路投送力量	装载投送力量	国家投送力量
	铁路投送力量	运行投送力量	国家投送力量
	水路投送力量		军队投送力量
	航空投送力量		军队投送力量
	航天投送力量	卸载投送力量	民间投送力量

一级指标	二级指标	三级指标
水路战略投送力量	水路装载投送力量	国家水路装载投送力量
		军队水路装载投送力量
		民间水路装载投送力量
	水路运行投送力量	国家水路运行投送力量
		军队水路运行投送力量
		民间水路运行投送力量
	水路卸载投送力量	国家水路卸载投送力量
		军队水路卸载投送力量
		民间水路卸载投送力量

评估对象	二层指标		三层指标
评估对象	名称	表征参数	名称	表征参数
公路战略投送力量体系（X）	装载投送力量	x₁	国家装载投送力量	x₁₁
			军队装载投送力量	x₁₂
			民间装载投送力量	x₁₃
	运行投送力量	x₂	国家运行投送力量	x₂₁
			军队运行投送力量	x₂₂
			民间运行投送力量	x₂₃
	卸载投送力量	x₃	国家卸载投送力量	x₃₁
			军队卸载投送力量	x₃₂
			民间卸载投送力量	x₃₃

	装载投送力量	运行投送力量	卸载投送力量
装载投送力量	1	1/3	1/2
运行投送力量	3	1	2
卸载投送力量	2	1/2	1

Research on Grey Clustering Evaluation of Strategic Delivery Force Based on Improved Possibility Function

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 30

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Xudong Deng, Ting Li, Yunfeng Ma, Xijie Yang. Allocation Strategy Based on Uncertain Demand [J]. Chinese Journal of Management Science, 2026, 34(5): 166-174.
[2]	Ying Han, Guijun Zhuang. Distributor Information Sharing with Manufacturer Channel Diversification and Cross-channel Conflict [J]. Chinese Journal of Management Science, 2026, 34(4): 266-275.
[3]	Jujie Wang, Xin Zhang. Carbon Price Interval Forecasting Study Based on the Hybrid Quantile and Time-Varying Weights [J]. Chinese Journal of Management Science, 2026, 34(4): 298-308.
[4]	Jiang Li, Hecheng Wu, Liwen Wang. A Robust Data Envelopment Analysis Model with Common Weights Considering Uncertainty and Its Application [J]. Chinese Journal of Management Science, 2026, 34(3): 333-344.
[5]	Yaoyao Wu, Zhentao Zou. Optimal Capital Structure under Model Uncertainty [J]. Chinese Journal of Management Science, 2026, 34(3): 51-56.
[6]	Xinyu Wu, Zhitian Zhu, Chaoqun Ma. Economic Policy Uncertainty and Chinese Stock Market Volatility: A Realized SV-MIDAS Approach [J]. Chinese Journal of Management Science, 2026, 34(1): 28-40.
[7]	Junjun Liu, Xiqiang Xia, Qinghua Zhu. The Research Progress and Prospects of Sustainable Supply Chain Management under the New Development Pattern [J]. Chinese Journal of Management Science, 2025, 33(9): 213-226.
[8]	Hongfeng Peng, Shiqun Ma, Xuetong Wang. Research on Cross-country Dynamic Spillover Effect of Economic Policy Uncertainty: From the Perspective of Network Multi-layer Structure [J]. Chinese Journal of Management Science, 2025, 33(7): 79-91.
[9]	Jianqi Liu, Guijun Zhuang, Yifan Wang. The Effects of Consumer Perceived Product Uncertainty on Offline Experience and Post-Purchase Attitudes in Online Shopping Contexts [J]. Chinese Journal of Management Science, 2025, 33(5): 163-172.
[10]	Zaiwu Gong, Jiaqi Yang. Study on Uncertain Programming Modeling of Multi-period Emergency Material Allocation Considering the Psychology of Victims [J]. Chinese Journal of Management Science, 2025, 33(3): 209-222.
[11]	Fulai Cui, Yidong Chai, Yuanchun Jiang, Yang Qian, Jianshan Sun, Yezheng Liu. Online Doctor Recommendation Considering the Uncertainty of Deep Learning Models [J]. Chinese Journal of Management Science, 2025, 33(11): 151-161.
[12]	Jinfeng Sun, Hongxi Sheng, Xiangpei Hu. Production Decision-making Optimization and Emission Behavioral Analysis under Emission Permits Price Uncertainty [J]. Chinese Journal of Management Science, 2025, 33(11): 65-80.
[13]	Jianhu Cai, Zhengang Cao, Qian Zhou, Wenliang Bian. Research on VMI Inventory Decision Model for Assembly System under Supplier's Yield Uncertainty [J]. Chinese Journal of Management Science, 2025, 33(10): 197-211.
[14]	Yingtong Wang, Xiaoyu Ji, Qingchun Meng. Research on Supply Chain Network Performance Based on Multi-level Backup Strategy in Dynamic and Uncertain Environment [J]. Chinese Journal of Management Science, 2025, 33(10): 316-326.
[15]	Hua Liao, Guoliang Zheng. Advances in Modeling Uncertainty of Climate-Economy Complex System [J]. Chinese Journal of Management Science, 2025, 33(1): 273-286.