文献
J-GLOBAL ID:202102274910981167
整理番号:21A0712520
2次元2重言語情報によりモデル化した信頼性に基づく大規模意思決定のための2段階最小調整コンセンサスモデル【JST・京大機械翻訳】
A two-stage minimum adjustment consensus model for large scale decision making based on reliability modeled by two-dimension 2-tuple linguistic information
著者 (6件):
Wang Zelin
(Decision Sciences Institute, Fuzhou University, Fujian, 350116, China)
,
Wang Zelin
(Department of Computer Sciences, University of Jaen, Jaen 23071, Spain)
,
Rodriguez Rosa M.
(Department of Computer Sciences, University of Jaen, Jaen 23071, Spain)
,
Wang Ying-ming
(Decision Sciences Institute, Fuzhou University, Fujian, 350116, China)
,
Wang Ying-ming
(Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fujian, 350116, China)
,
Martinez Luis
(Department of Computer Sciences, University of Jaen, Jaen 23071, Spain)
資料名:
Computers & Industrial Engineering
(Computers & Industrial Engineering)
巻:
151
ページ:
Null
発行年:
2021年
JST資料番号:
D0502B
ISSN:
0360-8352
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)