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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Bibliographic Details
Published in:Civil engineering and environmental systems Vol. 31; no. 4; pp. 331 - 346
Main Authors: Fan, Y.R., Huang, G.H., Jin, L., Suo, M.Q.
Format: Journal Article
Language:English
Published: Colchester Taylor & Francis 02.10.2014
Taylor & Francis Ltd
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:1028-6608
1029-0249
DOI:10.1080/10286608.2014.913031