Supplier Selection Decision Making Method with Hybrid AssessmentInformation Based on Distance Measure and Support Degree

doi:10.12005/orms.2018.0208

Operations Research and Management Science ›› 2018, Vol. 27 ›› Issue (9): 73-78.DOI: 10.12005/orms.2018.0208

• Theory Analysis and Methodology Study • Previous Articles Next Articles

Supplier Selection Decision Making Method with Hybrid AssessmentInformation Based on Distance Measure and Support Degree

HAN Er-dong¹, GUO Peng², ZHAO Jing²

1.School of Business, Luoyang Normal University, Luoyang 471934, China;
2.School of Management, Northwestern Polytechnical University, Xi’an 710072, China

Received:2015-05-08 Online:2018-09-25

基于距离测度及支持度的混合评价信息供应商选择决策

韩二东¹, 郭鹏², 赵静²

1.洛阳师范学院商学院,河南洛阳 471934;
2.西北工业大学管理学院,陕西西安 710072

作者简介:韩二东(1987- ),男,河南三门峡人,讲师,博士,研究方向为决策理论与方法;郭鹏(1962- ),男,陕西西安人,教授,博士,研究方向为项目管理、管理系统工程;赵静(1984-),女,河南禹州人,讲师,博士,研究方向为项目管理决策。
基金资助:
河南省教育厅人文社会科学研究一般项目(2018-ZZJH-361)

Abstract

Abstract: With the promotion of new retail, a supplier selection group decision making problem with the?supply chain has been enhanced, so firms should pay attention to this new problem in the new era. A group decision making method based on distance measure and support degree is proposed. For the supplier selection optimization problem, a group decision making method based on distance and support degree is obtained, according to the definition of distance measure of different types of attribute evaluation information. Single attribute index’s mutual support is gained between different decision makers, so we can get group comprehensive evaluation value of every attribute. Then, the alternative suppliers are ranked by gray correlation method.

Key words: multiple attribute group decision making, supplier selection, distance measure, support degree

摘要： 新零售模式的推进迫使企业不断加强供应链节点上的供应商选择优化,是企业新时代发展面临的新课题。针对供应商选择优化提出一种基于距离测度及支持度的群决策方法,根据不同类型属性评价信息的距离测度定义,得到不同决策者之间关于单一属性指标的相互支持度,从而确定单个供应商各属性的群体综合评价值,并采用灰关联法对备选供应商进行排序择优。

关键词: 多属性群决策, 供应商选择, 距离测度, 支持度

CLC Number:

C934

HAN Er-dong, GUO Peng, ZHAO Jing. Supplier Selection Decision Making Method with Hybrid AssessmentInformation Based on Distance Measure and Support Degree[J]. Operations Research and Management Science, 2018, 27(9): 73-78.

韩二东, 郭鹏, 赵静. 基于距离测度及支持度的混合评价信息供应商选择决策[J]. 运筹与管理, 2018, 27(9): 73-78.

References

[1]Banker R D, Khosla I S. Economics of operations management: a research perspective[J]. Journal of Operations and Management, 1995, 12(3): 423-425.
[2]Shahadat K. Supplier choice criteria of executing agencies in developing countries[J]. International Journal of Public Sector Management, 2003, 16(4): 261-285.
[3]王鲁萍,万校基,钟依朵.基于直觉梯形模糊VIKOR的第三方物流供应商选择评价[J].物流技术,2018,37(04):96-101+155.
[4]赵婉鹛,叶春明.考察供应商具有双重行为偏好特征的供应链契约与协调[J].工业工程与管理,2018,23(01):23-29.
[5]杨利平,张世斌.逆向物流供应商的二元语义多属性群决策[J].广西大学学报(自然科学版),2017,42(02):756-763.
[6]吴启金.对自贸试验区实现高质量发展的几点思考[J].海外投资与出口信贷,2018(02):8-12.
[7]康箐芸.我国自贸试验区改革创新的成效、问题及建议[J].税收经济研究,2017,22(06): 90-94.
[8]崔卫杰.努力把河南自贸试验区郑州片区打造成内陆自由经济区[J].行政科学论坛,2017(10):12-14+38.
[9]袁宇,关涛,闫相斌等.基于混合VIKOR方法的供应商选择决策模型[J].控制与决策,2014,29(3):551-560.
[10]雷星晖,尤筱玥.基于层次分析法支持决策的外包服务供应商绩效评价[J].同济大学学报(自然科学版),2014,42(11):1770-1775.
[11]Sanayei A, Farid Mousavi S, Yazdankhah A. Group decision making process for supplier selection with vikor under fuzzy environment[J]. Expert Systems with Applications, 2010, 37(1): 24-30.
[12]韩二东,徐国东.基于直觉模糊交叉熵及灰色关联的混合评价信息供应商选择决策[J].科学技术与工程,2017,17(07):1-9.
[13]Shemshadi A, Shirazi H, Toreihi M. A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting[J]. Expert Systems with Applications, 2011, 38(10): 12160-12167.
[14]秦娟,李延来,陈振颂.基于极大熵配置模型与Choquet积分的物流供应商选择群决策方法[J].计算机集成制造系统,2015,21(10):2746-2759.
[15]韩二东,郭鹏,赵静.基于投影及优势度的不确定语言群决策方法[J].四川大学学报(工程科学版),2015,47(1):143-149.
[16]耿秀丽,叶春明.基于直觉模糊VIKOR的服务供应商评价方法[J].工业工程与管理,2014,19(3):18-25.
[17]韩二东.不确定语言及直觉模糊信息的多属性群决策方法研究[D].西安:西北工业大学,2016.
[18]赵树平,梁昌勇,戚筱雯等.城市突发事件的应急设施选择群决策方法[J].系统管理学报,2014,23(6):810-818.
[19]龚承柱,李兰兰,卫振锋等.基于前景理论和隶属度的混合型多属性决策方法[J].中国管理科学,2014,22(10):122-128.
[20]刘小弟,朱建军,刘思峰.方案有不确定偏好的区间数相对熵群决策方法[J].中国管理科学,2014,22(6):134-140.
[21]Atanassov K T. Intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1996, 20(1): 87-96.
[22]Hong D H, Choi C H. Multi-criteria fuzzy decision-making problems based on vague set theory[J]. Fuzzy Sets and Systems, 2000,114(1): 103-113.
[23]Wang W, Xin X. Distance measure between intuitionistic fuzzy sets[J]. Pattern Recognition Letters, 2005, 26(13): 2063-2069.

Supplier Selection Decision Making Method with Hybrid AssessmentInformation Based on Distance Measure and Support Degree

基于距离测度及支持度的混合评价信息供应商选择决策

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