An air quality index-based multistage type-2-fuzzy interval-stochastic programming model for energy and environmental systems management under multiple uncertainties

2018 ◽  
Vol 167 ◽  
pp. 98-114 ◽  
Author(s):  
C. Suo ◽  
Y.P. Li ◽  
J. Sun ◽  
S. Yin
2015 ◽  
Vol 31 (2) ◽  
Author(s):  
Azadeh Tahmasebi ◽  
Mohammad Mehdi Amin ◽  
Parinaz Poursafa ◽  
Bijan Iraj ◽  
Hamidreza Sadehiyan ◽  
...  

Author(s):  
Ren ◽  
Zhang

This paper developed a type-2 fuzzy interval chance constrained programming model for optimizing a crop area, which integrated chance constrained programming and type-2 fuzzy interval programming. The developed model was then applied to a case study in Wuwei City, Gansu Province, China, and the maximization of economic benefit was selected as the planning objective. Furthermore, different water-saving irrigation modes were considered as the development mode. A series of optimal irrigation water and planting structure schemes were obtained under different violation probabilities in each water-saving scenario. The obtained results could be helpful to make decisions on the planting structure and the optimal use of irrigation water and land resources under multiple uncertainties.


2019 ◽  
Vol 7 (3) ◽  
pp. 961-966
Author(s):  
Harshita Raj ◽  
Suhasini Vijaykumar

Urban Climate ◽  
2021 ◽  
Vol 36 ◽  
pp. 100789
Author(s):  
Niladri Das ◽  
Subhasish Sutradhar ◽  
Ranajit Ghosh ◽  
Prolay Mondal

2021 ◽  
Vol 1058 (1) ◽  
pp. 012014
Author(s):  
Ruqayah Ali Grmasha ◽  
Shahla N. A. Al-Azzawi ◽  
Osamah J. Al-sareji ◽  
Talal Alardhi ◽  
Mawada Abdellatif ◽  
...  

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