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Grey fuzzy integer programming: An application to regional waste management planning under uncertainty
Huang, G.H.; Baetz, B.W.; Patry, G.G. - In: Socio-economic planning sciences : the international … 29 (1995) 1, pp. 17-38
Persistent link: https://www.econbiz.de/10006634329
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ARTICLES - Trash-Flow Allocation: Planning Under Municipal-solid-waste managers in Uncertainty - Hamilton-Wentworth, Ontario, use the results of a gray linear-programming model to verify the optimal allocation of waste flow
Huang, G.H.; Baetz, B.W.; Patry, G.G. - In: Interfaces : the INFORMS journal on the practice of … 28 (1998) 6, pp. 36-55
Persistent link: https://www.econbiz.de/10006301590
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A response to "A comment on 'Grey integer programming: An application to waste management planning under uncertainty"'
Jenkins, Larry; Huang, G.H.; Baetz, B.W.; Patry, G.G. - In: European journal of operational research : EJOR 100 (1997) 3, pp. 638-641
Persistent link: https://www.econbiz.de/10006673404
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A planning model for the development of waste material recycling programmes
Baetz, B.W.; Neebe, A.W. - In: Journal of the Operational Research Society : OR 45 (1994) 12, pp. 1374-1384
Persistent link: https://www.econbiz.de/10006072979
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Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations
Nishat, S.; Guo, Y.; Baetz, B.W. - In: Agricultural Water Management 92 (2007) 1-2, pp. 53-63
Persistent link: https://www.econbiz.de/10005147426
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Inexact de Novo programming for water resources systems planning
Zhang, Y.M.; Huang, G.H.; Zhang, X.D. - In: European Journal of Operational Research 199 (2009) 2, pp. 531-541
This study presents an interval de Novo programming (IDNP) approach for the design of optimal water-resources-management systems under uncertainty. The model is derived by incorporating the existing interval programming and de Novo programming, allowing uncertainties represented as intervals...
Persistent link: https://www.econbiz.de/10004973617
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A multi-level Taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management
Wang, S.; Huang, G.H. - In: European Journal of Operational Research 240 (2015) 2, pp. 572-581
This paper presents a multi-level Taguchi-factorial two-stage stochastic programming (MTTSP) approach for supporting water resources management under parameter uncertainties and their interactions. MTTSP is capable of performing uncertainty analysis, policy analysis, factor screening, and...
Persistent link: https://www.econbiz.de/10011097735
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A pseudo-optimal inexact stochastic interval T2 fuzzy sets approach for energy and environmental systems planning under uncertainty: A case study for Xiamen City of China
Jin, L.; Huang, G.H.; Fan, Y.R.; Wang, L.; Wu, T. - In: Applied Energy 138 (2015) C, pp. 71-90
In this study, a new Pseudo-optimal Inexact Stochastic Interval Type-2 Fuzzy Sets Linear Programming (PIS-IT2FSLP) energy model is developed to support energy system planning and environment requirements under uncertainties for Xiamen City. The PIS-IT2FSLP model is based on an integration of...
Persistent link: https://www.econbiz.de/10011116180
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An inexact simulation-based stochastic optimization method for identifying effluent trading strategies of agricultural nonpoint sources
Zhang, J.L.; Li, Y.P.; Wang, C.X.; Huang, G.H. - In: Agricultural Water Management 152 (2015) C, pp. 72-90
Agricultural nonpoint sources (NPS) pollution has long been regarded as the leading challenge in maintaining water quality of receiving water bodies. Effluent trading can serve as a cost-effective way to achieve optimal configuration of discharge permits in agricultural NPS pollution control....
Persistent link: https://www.econbiz.de/10011208810
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Planning sustainable electric-power system with carbon emission abatement through CDM under uncertainty
Zhou, Y.; Li, Y.P.; Huang, G.H. - In: Applied Energy 140 (2015) C, pp. 350-364
In this study, a fuzzy-interval possibilistic programming (FIPP) method is developed for supporting sustainable electric power system (EPS) planning with carbon emission abatement under uncertainty. In FIPP, systematic uncertainties expressed as crisp intervals and fuzzy-boundary intervals can...
Persistent link: https://www.econbiz.de/10011189396