Solid waste management under uncertainty: a generalized fuzzy linear programming approach

In this study, a generalized fuzzy linear programming (GFLP) method is developed to identify optimal waste-flow-allocation schemes under uncertainty. A stepwise interactive algorithm (SIA) is advanced to solve the GFLP model and generate solutions expressed as fuzzy sets. This solution method can ha...

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Vydané v:Civil engineering and environmental systems Ročník 31; číslo 4; s. 331 - 346
Hlavní autori: Fan, Y.R., Huang, G.H., Jin, L., Suo, M.Q.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Colchester Taylor & Francis 02.10.2014
Taylor & Francis Ltd
Predmet:
Algorithms
Allocations
Applied sciences
Buildings. Public works
Computation methods. Tables. Charts
decision-making
Exact sciences and technology
Fuzzy
Fuzzy logic
fuzzy programming
Fuzzy set theory
Fuzzy sets
Intervals
Linear programming
Mathematical models
Pollution
Sewerage. Sewer construction
solid waste management
Structural analysis. Stresses
Uncertainty
Waste disposal
Wastes
Case study
Waste management
Uncertainty
fuzzy sets
solid waste management
Decision making
decision-making
Solid waste
Linear programming
Fuzzy programming
Fuzzy set
Modeling
ISSN:1028-6608, 1029-0249
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Abstract In this study, a generalized fuzzy linear programming (GFLP) method is developed to identify optimal waste-flow-allocation schemes under uncertainty. A stepwise interactive algorithm (SIA) is advanced to solve the GFLP model and generate solutions expressed as fuzzy sets. This solution method can handle fuzzy sets with known membership functions, regardless of the shapes of these functions. Moreover, solutions expressed as fuzzy sets can also be obtained through SIA. The developed method is applied to a case study of waste allocation planning problem under uncertainty. The results indicate that reasonable solutions can be obtained for planning waste allocation practices. Compared with interval solutions derived from interval linear programming method, the fuzzy solutions obtained through GFLP can provide more information. Therefore, the decision-makers can make tradeoffs between system stability and plausibility and thus identify desired policies for solid waste planning under uncertainty.
AbstractList In this study, a generalized fuzzy linear programming (GFLP) method is developed to identify optimal waste-flow-allocation schemes under uncertainty. A stepwise interactive algorithm (SIA) is advanced to solve the GFLP model and generate solutions expressed as fuzzy sets. This solution method can handle fuzzy sets with known membership functions, regardless of the shapes of these functions. Moreover, solutions expressed as fuzzy sets can also be obtained through SIA. The developed method is applied to a case study of waste allocation planning problem under uncertainty. The results indicate that reasonable solutions can be obtained for planning waste allocation practices. Compared with interval solutions derived from interval linear programming method, the fuzzy solutions obtained through GFLP can provide more information. Therefore, the decision-makers can make tradeoffs between system stability and plausibility and thus identify desired policies for solid waste planning under uncertainty.
Author Jin, L.
Huang, G.H.
Suo, M.Q.
Fan, Y.R.
Author_xml – sequence: 1
  givenname: Y.R.
  surname: Fan
  fullname: Fan, Y.R.
  organization: Faculty of Engineering, University of Regina
– sequence: 2
  givenname: G.H.
  surname: Huang
  fullname: Huang, G.H.
  email: gordon.huang@uregina.ca
  organization: Sino-Canada Resources and Environmental Research Academy, North China Electric Power University
– sequence: 3
  givenname: L.
  surname: Jin
  fullname: Jin, L.
  organization: Faculty of Engineering, University of Regina
– sequence: 4
  givenname: M.Q.
  surname: Suo
  fullname: Suo, M.Q.
  organization: Sino-Canada Resources and Environmental Research Academy, North China Electric Power University
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Cites_doi 10.1016/j.apm.2008.10.020
10.1016/j.ins.2013.04.004
10.1016/j.jenvman.2004.11.015
10.1016/S0165-0114(98)00066-9
10.1016/j.jenvman.2010.03.012
10.3155/1047-3289.59.3.279
10.1016/j.jenvman.2006.04.006
10.3808/jei.200900154
10.1016/0165-0114(95)00370-3
10.1007/978-94-015-7153-1
10.1016/0377-2217(95)00008-9
10.3808/jei.201200203
10.1016/S0165-0114(98)00022-0
10.1145/1217856.1217860
10.1016/j.ins.2007.03.029
10.1016/j.jenvman.2005.10.007
10.3808/jei.201000180
10.1016/j.scitotenv.2010.05.038
10.1089/ees.2005.22.823
10.1016/j.jenvman.2007.01.011
10.1080/10473289.2011.628901
10.1080/02630259208970657
10.1016/0165-0114(92)90318-X
10.1061/(ASCE)0733-9372(2001)127:11(1031)
10.1016/0165-0114(93)90400-C
10.1016/0165-0114(89)90133-4
10.1080/03052150902866569
10.1007/978-3-642-48753-8
10.1089/ees.2005.22.835
10.1061/(ASCE)EE.1943-7870.0000300
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Issue 4
Keywords Case study
Waste management
Uncertainty
fuzzy sets
solid waste management
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Solid waste
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Fuzzy programming
Fuzzy set
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References CIT0030
CIT0010
Kaufmann A. (CIT0018) 1988
CIT0032
CIT0031
CIT0012
CIT0034
CIT0011
CIT0033
Hashemi S. M. (CIT0014) 2006; 17
Kaushal R. K. (CIT0019) 2011; 4
CIT0036
CIT0035
CIT0016
CIT0038
CIT0015
CIT0017
CIT0039
Dubois D. (CIT0008) 1980
CIT0021
CIT0001
CIT0023
CIT0022
Yeomans J. S. (CIT0037) 2012
Gunalay Y. (CIT0013) 2012; 19
CIT0003
CIT0025
CIT0002
Chang N.-B. (CIT0004) 1996; 32
CIT0024
CIT0005
Klir G. J. (CIT0020) 2006
CIT0027
CIT0026
CIT0007
CIT0029
CIT0006
CIT0028
CIT0009
References_xml – ident: CIT0027
  doi: 10.1016/j.apm.2008.10.020
– ident: CIT0012
  doi: 10.1016/j.ins.2013.04.004
– ident: CIT0005
  doi: 10.1016/j.jenvman.2004.11.015
– ident: CIT0028
  doi: 10.1016/S0165-0114(98)00066-9
– ident: CIT0038
  doi: 10.1016/j.jenvman.2010.03.012
– volume-title: Uncertainty and Information: Foundation of Generalized Information Theory
  year: 2006
  ident: CIT0020
– ident: CIT0024
  doi: 10.3155/1047-3289.59.3.279
– ident: CIT0030
  doi: 10.1016/j.jenvman.2006.04.006
– ident: CIT0026
  doi: 10.3808/jei.200900154
– ident: CIT0029
  doi: 10.1016/0165-0114(95)00370-3
– ident: CIT0039
  doi: 10.1007/978-94-015-7153-1
– ident: CIT0031
  doi: 10.1016/0377-2217(95)00008-9
– ident: CIT0009
  doi: 10.3808/jei.201200203
– ident: CIT0002
  doi: 10.1016/S0165-0114(98)00022-0
– volume: 4
  start-page: 1473
  issue: 4
  year: 2011
  ident: CIT0019
  publication-title: International Journal of Engineering Science and Technology
– ident: CIT0032
  doi: 10.1145/1217856.1217860
– ident: CIT0035
– ident: CIT0001
  doi: 10.1016/j.ins.2007.03.029
– volume: 17
  start-page: 253
  issue: 3
  year: 2006
  ident: CIT0014
  publication-title: Journal of Intelligent and Fuzzy Systems
– volume-title: Fuzzy Mathematical Models in Engineering and Many Science
  year: 1988
  ident: CIT0018
– ident: CIT0023
  doi: 10.1016/j.jenvman.2005.10.007
– ident: CIT0034
  doi: 10.3808/jei.201000180
– ident: CIT0025
  doi: 10.1016/j.scitotenv.2010.05.038
– ident: CIT0016
  doi: 10.1089/ees.2005.22.823
– start-page: 1
  year: 2012
  ident: CIT0037
  publication-title: Environmental Systems Research
– ident: CIT0003
  doi: 10.1016/j.jenvman.2007.01.011
– ident: CIT0011
  doi: 10.1080/10473289.2011.628901
– volume: 19
  start-page: 58
  issue: 2
  year: 2012
  ident: CIT0013
  publication-title: Journal of Environmental Informatics
– volume: 32
  start-page: 303
  issue: 4
  year: 1996
  ident: CIT0004
  publication-title: Journal of Operational Research
– ident: CIT0015
  doi: 10.1080/02630259208970657
– ident: CIT0021
  doi: 10.1016/0165-0114(92)90318-X
– ident: CIT0036
  doi: 10.1061/(ASCE)0733-9372(2001)127:11(1031)
– ident: CIT0006
  doi: 10.1016/0165-0114(93)90400-C
– ident: CIT0007
  doi: 10.1016/0165-0114(89)90133-4
– ident: CIT0010
  doi: 10.1080/03052150902866569
– ident: CIT0022
  doi: 10.1007/978-3-642-48753-8
– ident: CIT0017
  doi: 10.1089/ees.2005.22.835
– ident: CIT0033
  doi: 10.1061/(ASCE)EE.1943-7870.0000300
– volume-title: Fuzzy Sets and Systems: Theory and Applications
  year: 1980
  ident: CIT0008
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SubjectTerms Algorithms
Allocations
Applied sciences
Buildings. Public works
Computation methods. Tables. Charts
decision-making
Exact sciences and technology
Fuzzy
Fuzzy logic
fuzzy programming
Fuzzy set theory
Fuzzy sets
Intervals
Linear programming
Mathematical models
Pollution
Sewerage. Sewer construction
solid waste management
Structural analysis. Stresses
Uncertainty
Waste disposal
Wastes
Title Solid waste management under uncertainty: a generalized fuzzy linear programming approach
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