Factorial-Based Inexact Stochastic Fuzzy Chance Constraint Programming Framework for Municipal Solid Waste Management with GHG Emission Trading: Analysis of Multilevel Parametric Interactions

This study proposes a factorial inexact stochastic fuzzy chance constraint programming framework for dealing with uncertainties in municipal solid waste management under consideration of greenhouse gas (GHG) emission trading. It can reflect uncertainties expressed as fuzzy, interval, and random vari...

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Veröffentlicht in:	Water, air, and soil pollution Jg. 227; H. 10; S. 1 - 383
Hauptverfasser:	Ma, Xiaolin, Ma, Chi, Liu, Hongyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.10.2016 Springer Nature B.V
Schlagworte:	Analysis Atmospheric Protection/Air Quality Control/Air Pollution Carbon dioxide Climate change Climate Change/Climate Change Impacts Composting credit Decision making Earth and Environmental Science Emissions Emissions control Emissions trading Environment Environmental monitoring Fuzzy sets Greenhouse effect greenhouse gas emissions Greenhouse gases Hydrogeology Incinerators Linear programming Mathematical programming Methods Municipal solid waste Optimization techniques purchasing Random variables Soil Science & Conservation Solid waste disposal Solid waste management Stochastic models Stochasticity Studies uncertainty Waste disposal Waste management Water Quality/Water Pollution Parameter interaction GHG emission Multiple uncertainties Decision making Municipal solid waste
ISSN:	0049-6979, 1573-2932
Online-Zugang:	Volltext
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