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Inexact fuzzy-stochastic mixed-integer programming...
Journal article

Inexact fuzzy-stochastic mixed-integer programming approach for long-term planning of waste management – Part A: Methodology

Abstract

In this study, an inexact fuzzy chance-constrained two-stage mixed-integer linear programming (IFCTIP) approach is proposed for supporting long-term planning of waste-management systems under multiple uncertainties in the City of Regina, Canada. The method improves upon the existing inexact two-stage programming and mixed-integer linear programming techniques by incorporating uncertainties expressed as multiple uncertainties of intervals and …

Authors

Guo P; Huang GH

Journal

Journal of Environmental Management, Vol. 91, No. 2, pp. 461–470

Publisher

Elsevier

Publication Date

11 2009

DOI

10.1016/j.jenvman.2009.09.014

ISSN

0301-4797