Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Wanrong Zheng"'
Publikováno v:
IEEE Access, Vol 7, Pp 53213-53224 (2019)
Since some existing uncertainty measurement of covering-based rough intuitionistic fuzzy sets (CRIFSs) are unreasonable in some cases, an extended uncertainty measure criterion of CRIFSs is proposed. The discussion of the monotonicity of the criterio
Externí odkaz:
https://doaj.org/article/8b5bdbcbd9ec49958fda725a30659a3b
Publikováno v:
Complexity, Vol 2020 (2020)
Pythagorean hesitant fuzzy sets are widely watched because of their excellent ability to deal with uncertainty, imprecise and vague information. This paper extends Pythagorean hesitant fuzzy environments to interval-valued Pythagorean hesitant fuzzy
Externí odkaz:
https://doaj.org/article/7f2a24da96be4200b625b2560dabf89d
Publikováno v:
Transnational Corporations Review. 14:31-45
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:1691-1699
Temporal appearance misalignment is a crucial problem in video person re-identification. The same part of person (e.g. head or hand) appearing on different locations in video sequence weakens its discriminative ability, especially when we apply stand
Publikováno v:
IEEE Access, Vol 7, Pp 53213-53224 (2019)
Since some existing uncertainty measurement of covering-based rough intuitionistic fuzzy sets (CRIFSs) are unreasonable in some cases, an extended uncertainty measure criterion of CRIFSs is proposed. The discussion of the monotonicity of the criterio
Publikováno v:
Complexity, Vol 2020 (2020)
Pythagorean hesitant fuzzy sets are widely watched because of their excellent ability to deal with uncertainty, imprecise and vague information. This paper extends Pythagorean hesitant fuzzy environments to interval-valued Pythagorean hesitant fuzzy