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• W2086537650 abstract "In many real-world problems, quality of the available information is generally poor and uncertainties presented as multiple formats may exist in various system components. In this study, a dual-interval fuzzy stochastic programming (DIFSP) method is developed for tackling uncertainties presented as dual intervals and random variables within a multistage context. The developed method is applied to a case study of long-term planning of a municipal solid waste-management system. It has been demonstrated that DIFSP has advantages in addressing the dynamic, interactive, and uncertain characteristics. Moreover, it can reflect dynamics in terms of both waste-flow allocation and facility-capacity expansion through constructing a multilayer scenario tree. With the aid of an interactive algorithm woven with a vertex analysis, solutions for waste-flow allocation and facility-capacity expansion under various uncertainty levels in decision making may be illuminated in support of solid waste-management system planning in urban regions. They can help decision makers to identify desired waste-management policies with minimized system cost and maximized environmental efficiency." @default.
• W2086537650 created "2016-06-24" @default.
• W2086537650 creator A5014716343 @default.
• W2086537650 creator A5057075801 @default.
• W2086537650 date "2010-03-01" @default.
• W2086537650 modified "2023-09-24" @default.
• W2086537650 title "Dual-Interval Fuzzy Stochastic Programming Method for Long-Term Planning of Municipal Solid Waste Management" @default.
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• W2086537650 doi "https://doi.org/10.1061/(asce)cp.1943-5487.0000025" @default.
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