Novel generalized grey incidence model based on interval grey numbers

被引:0
作者
Xie, Naiming [1 ]
Zheng, Jing [1 ]
Xin, Jianghui [2 ]
机构
[1] College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
[2] Department of Vehicle Engineering, Nanjing University of Technology, Nanjing, 211167, China
关键词
D O I
暂无
中图分类号
N94 [系统科学]; C94 [];
学科分类号
0711 ; 081103 ; 1201 ;
摘要
To extend the traditional generalized grey incidence model, a novel grey incidence model based on interval grey numbers is constructed. Considering the numerical information of indexes cannot be accurately obtained and can be defined as interval grey numbers, the interval grey numbers are defined as standard interval grey numbers which are split in white part and grey part. The absolute degree of incidence and relative degree of incidence based on the interval grey numbers are constructed and their arithmetic are given. Finally, an example about commercial aircraft index selection illuminates the effectiveness of the model. The results show that the model can sort indexes better and can extend the grey incidence models significantly.
引用
收藏
页码:118 / 124
相关论文
共 50 条
[31]   An Extension of the EDAS Method Based on the Use of Interval Grey Numbers [J].
Stanujkic, Dragisa ;
Zavadskas, Edmundas Kazimieras ;
Keshavarz Ghorabaee, Mehdi ;
Turskis, Zenonas .
STUDIES IN INFORMATICS AND CONTROL, 2017, 26 (01) :5-12
[32]   Study on the Grey incidence of interval number [J].
Dang, YG ;
Liu, SF ;
Liu, B ;
Wang, RL .
INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, :728-732
[33]   Grey Fixed Weight Cluster Model of Interval Grey Numbers Based on Central-point Triangular Whitenization Weight Function [J].
Ye Jing ;
Dang Yaoguo ;
Zhang Baoqin .
PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2015, :352-357
[34]   A time-varying grey Riccati model based on interval grey numbers for China's clean energy generation predicting [J].
Guo, Sandang ;
Jing, Yaqian .
GREY SYSTEMS-THEORY AND APPLICATION, 2022, 12 (03) :501-521
[35]   Study on the multi-attribute decision model of grey target based on interval numbers [J].
Dang, Yaoguo ;
Liu, Sifeng ;
Song, Jie .
PROCEEDINGS OF 2007 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES, VOLS 1 AND 2, 2007, :744-747
[36]   Improved prediction model of interval grey number based on the characteristics of grey degree of compound grey number [J].
Wang, Da-Peng ;
Wang, Bing-Wen ;
Li, Rui-Fan .
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2013, 35 (05) :1013-1017
[37]   A Novel Interval Grey Number Prediction Model Given Kernel and Grey Number Band [J].
Zeng, Bo ;
Li, Chuan ;
Long, Xian-Jun ;
Xiong, Yao ;
Zhou, Xue-Yu .
JOURNAL OF GREY SYSTEM, 2014, 26 (03) :69-84
[38]   Grey Decision Model Based on Three-Parameter Interval Grey Number [J].
Li, Xiaolu ;
Yang, Weiming ;
Li, Bingjun .
PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2017, :200-204
[39]   The absolute degree of grey incidence for grey sequence base on standard grey interval number operation [J].
Zhang, Ke ;
Ye, Wei ;
Zhao, Liping .
KYBERNETES, 2012, 41 (7-8) :934-944
[40]   Method of Group Decision Making with Interval Grey Numbers based on Grey Correlation and Relative Close Degree [J].
Liu, Dan ;
Hu, Bin ;
Ding, Zhuo ;
Kaisarb, Evangelos I. .
TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2020, 27 (05) :1579-1584