Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Xiangzhi Kong"'
Autor:
Zhenduo Sun, Xiangzhi Kong
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract This paper introduces an innovative approach aimed at enhancing multi-attribute decision-making through the utilization of fuzzy pattern recognition, with a specific emphasis on engaging decision-makers more effectively. The methodology esta
Externí odkaz:
https://doaj.org/article/a9126f73956a46c5b1168a3684d7ca9d
Autor:
Mengmeng Wang, Xiangzhi Kong
Publikováno v:
AIMS Mathematics, Vol 8, Iss 10, Pp 23997-24024 (2023)
With the aim of addressing the complexity of decision environments, uncertainty of decision information and weight determination of mutual influence between decision makers, a (p, q)-rung interval-valued orthopair fuzzy multi-attribute group decision
Externí odkaz:
https://doaj.org/article/ce4bc884696d45188b9fc9122bd1d979
Autor:
Jinyan Bao, Xiangzhi Kong
Publikováno v:
Symmetry, Vol 15, Iss 11, p 2043 (2023)
Aiming at the fuzzification of a decision environment and the challenge of determining the weights associated with the interaction among decision-makers, this study offers an original method for (p,q)-rung probabilistic hesitant orthopair fuzzy multi
Externí odkaz:
https://doaj.org/article/a0b447e7447845128d875297de6ba1fd
Publikováno v:
Land, Vol 12, Iss 8, p 1495 (2023)
To our knowledge, this is the first study in the world to incorporate risk into the contract-farming participation decision process and to examine empirical evidence on the effect of contract farming on fertilizer application, filling the research ga
Externí odkaz:
https://doaj.org/article/e59b4ad52aee48f69c24356674a29510
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2905 (2023)
Significant progress has been made in incorporating fractional calculus into the projection and lag synchronization of complex networks. However, real-world networks are highly complex, making the fractional derivative used in complex dynamics more s
Externí odkaz:
https://doaj.org/article/428506deb01740599eddf7678a6db278
Publikováno v:
International Journal of Approximate Reasoning. 142:13-30
In the era of big data, faced with massive and complex information, many mathematical concepts used to make judgments and decisions have emerged. In order to better integrate the multi-level fuzzy information, on the basis of the original covering ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dea1a962b8dc574c3ea1ea6fa79cfb9
https://doi.org/10.1016/j.ijar.2021.11.001
https://doi.org/10.1016/j.ijar.2021.11.001
Autor:
Mengmeng Wang, Xiangzhi Kong
Publikováno v:
AIMS Mathematics; 2023, Vol. 8 Issue 10, p23997-24024, 28p
Autor:
Zhenduo Sun, Xiangzhi Kong
This paper combines information systems with fuzzy pattern recognition and proposes an improved fuzzy pattern decision-making method based on it. The decision attributes and conditional attributes are selected according to the decision purpose, and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d95320aabe68add5d4bc27214e6e108b
https://doi.org/10.21203/rs.3.rs-2511136/v1
https://doi.org/10.21203/rs.3.rs-2511136/v1
Publikováno v:
Fuzzy Sets and Systems. 423:170-174
This paper shows that the eight propositions and the four corollaries about four types of fuzzy covering-based rough set models in Yang and Hu (2017) [1] are incorrect through counter-examples, and the eight propositions are corrected.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b12ea1ffe9d0ab2d16946b360e6c8ae
https://doi.org/10.1016/j.fss.2020.10.002
https://doi.org/10.1016/j.fss.2020.10.002
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 24; Pages: 16647
This study examines whether cooperatives can assist more than 200 million farmers in China, who are facing tightening resources and environmental constraints, in adopting green farming practices. A framework for counterfactual analysis was establishe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69cb6f6a1bb787342b29d5abf68522c1
https://pubmed.ncbi.nlm.nih.gov/36554525
https://pubmed.ncbi.nlm.nih.gov/36554525