Selection of express freight transportation schemes based on rough set over two universes

doi:10.11772/j.issn.1001-9081.2020071123

Journal of Computer Applications ›› 2021, Vol. 41 ›› Issue (5): 1500-1505.DOI: 10.11772/j.issn.1001-9081.2020071123

Special Issue: 前沿与综合应用

• Frontier & interdisciplinary applications • Previous Articles Next Articles

Selection of express freight transportation schemes based on rough set over two universes

WANG Xiaorong, ZHANG Yuzhao, ZHANG Zhenjiang

School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China

Received:2020-07-30 Revised:2020-10-07 Online:2021-05-10 Published:2020-11-12
Supported by:
This work is partially supported by the National Natural Science Foundation of China (71761025).

基于双论域粗糙集的快捷货物运输方案选择

王小荣, 张玉召, 张振江

兰州交通大学交通运输学院, 兰州 730070

通讯作者: 张玉召
作者简介:王小荣(1997-),女,甘肃金塔人,硕士研究生,主要研究方向:快捷货运网络优化设计;张玉召(1981-),男,安徽砀山人,副教授,博士,主要研究方向:轨道交通运输组织优化、客货运技术与管理;张振江(1994-),男,河北保定人,硕士研究生,主要研究方向:快捷货运网络优化与设计。
基金资助:
国家自然科学基金资助项目（71761025）。

Abstract

Abstract: Aiming at the problem of express freight scheme decision under multiple uncertain factors, the express freight scheme decision model and decision rule based on intuitionistic fuzzy rough set over two universes were proposed. Based on the intuitionistic fuzzy rough set theory over two universes, a fuzzy approximate space over two universes for express freight scheme decision was determined. The consumption degrees of fixed cost, transportation cost, transfer cost, carbon emission, transfer time and other transportation indices were regarded as intuitionistic fuzzy numbers, and the intuitionistic fuzzy relation between evaluation indices and transportation schemes were used to calculate the lower approximation set and upper approximation set, and the maximum intuitionistic index and Hamming closeness degree were introduced to determine the transportation scheme decision rules. Taking an express freight transportation line from Lanzhou to Beijing as the example, the optimal transportation scheme was selected from the 9 modes of transportation combined by road, ordinary speed railway and air according to the decision rules. Sensitivity analysis of transportation cost and transfer cost was performed to verify the accuracy of the results. The two optimal transportation schemes finally selected show the applicability of the intuitionistic fuzzy rough set over two universes on such problems.

Key words: two universes, intuitionistic fuzzy rough set, express freight, selection of transportation scheme, scheme decision

摘要： 针对多种不确定因素下的快捷货物运输方案决策问题，提出一种基于双论域直觉模糊粗糙集的快捷货物运输方案决策模型与决策规则。依据双论域直觉模糊粗糙集理论来确定快捷货物运输方案决策的双论域模糊近似空间。将固定成本、运输成本、转运成本、碳排放、转运时间等评价指标的消耗程度视为直觉模糊数，利用评价指标与运输方案之间的直觉模糊关系计算求得下近似集与上近似集，并引入最大直觉性指标及海明贴近度得出运输方案决策规则。以兰州至北京的一条快捷货物运输线路为例，依据决策规则从公路、普铁、航空组合出的9种运输方式中选择出最优运输方案。对运输成本、转运成本进行灵敏度分析以验证结果的准确性。最终选择出的两种最优运输方案表明了双论域直觉模糊粗糙集在此类问题上的适用性。

关键词: 双论域, 直觉模糊粗糙集, 快捷货运, 运输方案选择, 方案决策

CLC Number:

TP202

WANG Xiaorong, ZHANG Yuzhao, ZHANG Zhenjiang. Selection of express freight transportation schemes based on rough set over two universes[J]. Journal of Computer Applications, 2021, 41(5): 1500-1505.

王小荣, 张玉召, 张振江. 基于双论域粗糙集的快捷货物运输方案选择[J]. 计算机应用, 2021, 41(5): 1500-1505.

References

[1] DEMIR E,BURGHOLZER W,HRUŠOVSKÝ M,et al. A green intermodal service network design problem with travel time uncertainty[J]. Transportation Research Part B:Methodological, 2016,93(Pt B):789-807.
[2] 钟校, 张玉召, 任斌. 考虑碳排放的快捷货运方式选择模型[J]. 交通运输系统工程与信息,2018,18(6):250-256.(ZHONG X, ZHANG Y Z,REN B. Selection model of express freight with the consideration of carbon emission[J]. Journal of Transportation Systems Engineering and Information Technology,2018,18(6):250-256.)
[3] 刘慧, 杨超. 需求不确定的服务设施网络设计模型鲁棒性研究[J]. 运筹与管理,2016,25(1):117-125.(LIU H,YANG C. Robust research on service facility network design problem with demand uncertainty[J]. Operations Research and Management Science,2016,25(1):117-125.)
[4] 王保华, 何世伟. 综合运输体系下快捷货物运输网络资源配置优化模型及算法[J]. 铁道学报,2017,39(2):10-16.(WANG B H,HE S W. Resource planning optimization model and algorithm for multi-modal express shipment network[J]. Journal of the China Railway Society,2017,39(2):10-16.)
[5] PAWLAK Z. Rough set theory and its applications[J]. Journal of Telecommunications and Information Technology,2002,3(3):7-10.
[6] PAWLAK Z, SKOWRON A. Rudiments of rough sets[J]. Information Sciences,2007,177(1):3-27.
[7] 高静, 程铭. 粗糙集理论辅助现代医疗诊断研究综述[J]. 科技与创新,2019(11):25-27.(GAO J,CHENG M. A review of modern medical diagnosis aided by rough set theory[J]. Science and Technology & Innovation,2019(11):25-27.)
[8] 刘伟, 黎劲松, 刘爱军. 用于电力系统故障诊断的优势粗糙集分类系统研究[J]. 电工技术,2018(22):57-60.(LIU W,LI J S, LIU A J. Research of classification system based on dominance rough set for power system fault diagnosis[J]. Electric Engineering,2018(22):57-60.)
[9] 张友鹏, 江雪莹, 赵斌. 融合粗糙集与灰色模型的道岔故障预测[J]. 铁道科学与工程学报,2019,16(9):2331-2338.(ZHANG Y P,JIANG X Y,ZHAO B. Turnout fault prediction based on rough set and grey model[J]. Journal of Railway Science and Engieering, 2019,16(9):2331-2338.)
[10] 胡晓元, 孙秉珍. 基于双论域量化模糊粗糙集的公共卫生应急决策模型[J]. 系统科学与数学,2019,39(3):409-424.(HU X Y,SUN B Z. The model of public health emergency decisionmaking based on double quantitative fuzzy rough set over two universes[J]. Journal of Systems Science and Mathematical Sciences,2019,39(3):409-424.)
[11] 孙秉珍, 马卫民. 应急管理中不确定决策的双论域粗糙集理论与方法研究[M]. 上海:同济大学出版社,2017:60-86.(SUN B Z,MA W M. Research on the Theory and Methodology Over Two Universes for Uncertainty Decision-making in Emergency Management[M]. Shanghai:Tongji University Press, 2017:60-86.)
[12] CHEN D,YANG Y,DONG Z. An incremental algorithm for attribute reduction with variable precision rough sets[J]. Applied Soft Computing,2016,45:129-149.
[13] ZHANG W,REN L,WANG L. A method of deep belief network image classification based on probability measure rough set theory[J]. International Journal of Pattern Recognition and Artificial Intelligence,2018,32(11):No. 1850040.
[14] AN S,HU Q,PEDRYCZ W,et al. Data-distribution-aware fuzzy rough set model and its application to robust classification[J]. IEEE Transactions on Cybernetics,2016,46(12):3073-3085.
[15] ABD EL-MONSEF M E,EL-GAYAR M A,AQEEL R M. A comparison of three types of rough fuzzy sets based on two universal sets[J]. International Journal of Machine Learning and Cybernetics,2017,8(1):343-353.
[16] 孙秉珍, 胡晓元. 双论域上量化粗糙集模型及应用[J]. 计算机工程与应用,2017,53(20):50-55,99.(SUN B Z,HU X Y. Quantitative rough set model over two universes and its application[J]. Computer Engineering and Applications,2017,53(20):50-55,99.)
[17] LIU G. Rough set theory based on two universal sets and its applications[J]. Knowledge-Based Systems, 2010, 23(2):110-115.
[18] 罗术群. 双论域直觉模糊粗糙集及其不确定度量研究[D]. 重庆:重庆理工大学,2014:19-41.(LUO S Q. Intuitionistic fuzzy rough set over two universes and its uncertainty measures[D]. Chongqing:Chongqing University of Technology,2014:19-41.)

Selection of express freight transportation schemes based on rough set over two universes

基于双论域粗糙集的快捷货物运输方案选择

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 4

Recommended Articles

Metrics

[1]	WAN Zhichao, SONG Jie, SHENG Yongliang. Variable intuitionistic fuzzy multi-granulation rough set model and its approximate distribution reduction algorithms [J]. Journal of Computer Applications, 2018, 38(2): 390-398.
[2]	FAN Cheng-li, LEI Ying-jie, ZHANG Ge. Improved measure of similarity between intuitionistic fuzzy rough sets [J]. Journal of Computer Applications, 2011, 31(05): 1344-1347.
[3]	. Intuitionistic fuzzy rough sets based on residuation implication of T-norms [J]. Journal of Computer Applications, 2008, 28(7): 1665-1667.
[4]	Wei-Wei KONG . Research of rule-including with intuitionistic fuzzy rough reasoning [J]. Journal of Computer Applications, 2007, 27(9): 2279-2280.