文献
J-GLOBAL ID:202202241203032018
整理番号:22A1056207
多基準意思決定のためのDempster-Shafer理論のフレームワークにおけるHesitantファジィ電力マクラリン対称平均演算子【JST・京大機械翻訳】
Hesitant fuzzy power Maclaurin symmetric mean operators in the framework of Dempster-Shafer theory for multiple criteria decision making
著者 (6件):
Zhong Yanru
(Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphic, Guilin University of Electronic Technology, Guilin, China)
,
Cao Liangbin
(Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphic, Guilin University of Electronic Technology, Guilin, China)
,
Zhang Huanan
(Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphic, Guilin University of Electronic Technology, Guilin, China)
,
Qin Yuchu
(School of Computing and Engineering, University of Huddersfield, Huddersfield, UK)
,
Huang Meifa
(School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China)
,
Luo Xiaonan
(Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphic, Guilin University of Electronic Technology, Guilin, China)
資料名:
Journal of Ambient Intelligence and Humanized Computing
(Journal of Ambient Intelligence and Humanized Computing)
巻:
13
号:
4
ページ:
1777-1797
発行年:
2022年
JST資料番号:
W4517A
ISSN:
1868-5137
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)