Yi Yang

Dr. Yi Yang

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2019 in Information Sciences
Verified
Journal Article
Closed access
ZCZhen-Song Chen
Zhen-Song Chen
YYYi Yang
Yi Yang
XWXian-Jia Wang
Xian-Jia Wang
KCKwai-Sang Chin
Kwai-Sang Chin
KTKwok-Leung Tsui
Kwok-Leung Tsui

9 June 2015 in International Journal of Intelligent Systems
Verified
Journal Article
Closed access
PDF file
YYYi Yang
Yi Yang
HDHeng Ding
Heng Ding
ZCZhen-Song Chen
Zhen-Song Chen
YLYan-Lai Li
Yan-Lai Li
In this note, we point out an error to the proof of Theorem 3.4 in Zhang and Xu (Int J Intell Syst 2014;29(12):1061–1078) by a counterexample. We find that the inequality (i.e., ) with respect to the degrees of indeterminacy of any three Pythagorean fuzzy numbers in the proof of Theorem 3.4 in Zhang and Xu's paper is not valid. A new proof is provided in this note.

1 January 2018 in International Journal of Computational Intelligence Systems
Verified
Journal Article
Open access
PDF file
YYYi Yang
Yi Yang
ZCZhen-Song Chen
Zhen-Song Chen
YCYue-Hua Chen
Yue-Hua Chen
KCKwai-Sang Chin
Kwai-Sang Chin

4 January 2019 in International Journal of Intelligent Systems
Verified
Journal Article
Closed access
PDF file
YYYi Yang
Yi Yang
KCKwai‐Sang Chin
Kwai‐Sang Chin
HDHeng Ding
Heng Ding
HLHong‐Xia Lv
Hong‐Xia Lv
YLYan‐Lai Li
Yan‐Lai Li

1 February 2021 in International Journal of Machine Learning and Cybernetics
Verified
Journal Article
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YYYi Yang
Yi Yang
ZCZhen-Song Chen
Zhen-Song Chen
RRRosa M. Rodriguez
Rosa M. Rodriguez
WPWitold Pedrycz
Witold Pedrycz
KCKwai-Sang Chin
Kwai-Sang Chin

16 January 2022 in Mathematics
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Journal Article
Open access
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WCWenzhi Cao
Wenzhi Cao
JDJilin Deng
Jilin Deng
YYYi Yang
Yi Yang
YZYangyan Zeng
Yangyan Zeng
LLLimei Liu
Limei Liu
The scientific and reasonable evaluation of the carrying capacity of water resources is of guiding significance for solving the issues of water resource shortages and pollution control. It is also an important method for realizing the sustainable development of water resources. Aiming at an evaluation of the carrying capacity of water resources, an evaluation model based on the cloud model theory and evidential reasoning approach is studied. First, based on the existing indicators, a water resources evaluation index system based on the pressure-state-response (PSR) model is constructed, and a classification method of carrying capacity grade is designed. The cloud model theory is used to realize the transformation between the measured value of indicators and the degree of correlation. Second, to obtain the weight of the evaluation index, the weight method of the index weights model based on the entropy weight method and evidential reasoning approach is proposed. Then, the reliability distribution function of the evaluation index and the graded probability distribution of the carrying capacity of water resources are obtained by an evidential reasoning approach. Finally, the evaluation method of the carrying capacity of water resources is constructed, and specific steps are provided. The proposed method is applied to the evaluation of water resources carrying capacity for Hunan Province, which verifies the feasibility and effectiveness of the method proposed in the present study. This paper applies this method of the evaluation of the water resources carrying capacity of Hunan Province from 2010 to 2019. It is concluded that the water resources carrying capacity of Hunan Province belongs to III~V, which is between the critical state and the strong carrying capacity state. The carrying capacity of the province’s water resources is basically on the rise. This shows that the carrying capacity of water resources in Hunan Province is in good condition, and corresponding protective measures should be taken to continue the current state.