Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Ya-Qiang Xu"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-7 (2022)
Abstract Basic uncertain information is a newly proposed normative formulation to express and model uncertain information. This study further generalizes this concept by introducing the concept of refined interval of discourse in which the true value
Externí odkaz:
https://doaj.org/article/fa4df7155abf4952a322a0c2dd0853a0
Autor:
Ya-Qiang Xu, Le-Sheng Jin, Zhen-Song Chen, Ronald R. Yager, Jana Špirková, Martin Kalina, Surajit Borkotokey
Publikováno v:
Mathematics, Vol 10, Iss 4, p 572 (2022)
This paper elaborates the different methods to generate normalized weight vector in multi-criteria decision-making where the given information of both criteria and inputs are uncertain and can be expressed by basic uncertain information. Some general
Externí odkaz:
https://doaj.org/article/7b1fee49e1fe4ed7ab43a0c5d0c6dfe0