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

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-stag...

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Bibliographic Details
Published in:	Journal of environmental management Vol. 91; no. 2; pp. 461 - 470
Main Authors:	Guo, P., Huang, G.H.
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.11.2009 Elsevier Academic Press Ltd
Subjects:	Animal, plant and microbial ecology Applied ecology Biological and medical sciences Canada Chance-constrained Conservation, protection and management of environment and wildlife Decision theory Economics Environment Environmental policy Fundamental and applied biological sciences. Psychology Fuzzy Logic Fuzzy sets General aspects Integer programming Linear programming Long term Long-term planning Management Methods Multiple uncertainties Optimization Penalties Planning Planning Techniques Public services Saskatchewan Solid waste Solid wastes Stochastic models Stochastic Processes Two-stage Uncertainty Utility theory Waste disposal Waste Management Saskatchewan Regina Saskatchewan Canada Canada Solid waste Fuzzy sets Environment Multiple uncertainties Chance-constrained Two-stage Waste management Methodology Planning Environmental management Long term
ISSN:	0301-4797, 1095-8630, 1095-8630
Online Access:	Get full text
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