Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Shuping Wan"'
Publikováno v:
Axioms, Vol 12, Iss 10, p 971 (2023)
The multi-criteria group decision-making approach, rooted in fuzzy mathematics theory, is employed to address the globally significant issue of green construction in this paper. The construction industry is one of the most prominent contributors to c
Externí odkaz:
https://doaj.org/article/e2803be4c46f41f08e53e43af8112a08
Publikováno v:
IEEE Access, Vol 8, Pp 112462-112483 (2020)
Based on the idea of linear programming technique for multidimensional analysis of preference (LINMAP), a novel three-phase LINMAP method is presented here for solving hybrid multi-criteria group decision making (MCGDM) with dual hesitant fuzzy (DHF)
Externí odkaz:
https://doaj.org/article/a13eeba5baae4b1a899bb0773f274944
Autor:
Jiuying Dong, Shuping Wan
Publikováno v:
IEEE Access, Vol 6, Pp 46656-46667 (2018)
Heterogeneous multi-attribute group decision-making (MAGDM), which is an extension of the MAGDM problems, deals with heterogeneous information formats. In this paper, a new method is proposed for heterogeneous MAGDM in which five kinds of information
Externí odkaz:
https://doaj.org/article/eaeae3f1269d447cadd2b2e37acf2a3e
Autor:
Bo Fan, Hongshuo Zhang, Huidan Jin, Yu Gai, Honglong Wang, Huafeng Zong, Mingyu Jin, Hao Yang, Shuping Wan, Jiabin Zhu, Siyao Xu, Jianbo Wang, Deyong Yang, Xishuang Song
Publikováno v:
Cellular Physiology and Biochemistry, Vol 40, Iss 6, Pp 1613-1625 (2016)
Background: Upper tract urinary carcinoma (UTUC) is a relatively uncommon but aggressive disease. The Ki-67 antigen is a classic marker of cellular proliferation, but there is still controversy regarding the significance and importance of Ki-67 in tu
Externí odkaz:
https://doaj.org/article/87bd7d1579994a0683d761882c869708
Publikováno v:
Information Sciences. 631:120-144
Publikováno v:
Knowledge and Information Systems. 65:2305-2346
Publikováno v:
Computer Modeling in Engineering & Sciences. 134:1041-1067
Publikováno v:
Computer Modeling in Engineering & Sciences. 136:2895-2934
Autor:
Feng Wang, Shuping Wan
Publikováno v:
Applied Intelligence. 53:12098-12113
Publikováno v:
SSRN Electronic Journal.