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A fuzzy chance-constrained programming model with type 1 and type 2 fuzzy sets for solid waste management under uncertainty.
- Source :
-
Engineering Optimization . Jun2017, Vol. 49 Issue 6, p1040-1056. 17p. - Publication Year :
- 2017
-
Abstract
- Effective management of municipal solid waste (MSW) is critical for urban planning and development. This study aims to develop an integrated type 1 and type 2 fuzzy sets chance-constrained programming (ITFCCP) model for tackling regional MSW management problem under a fuzzy environment, where waste generation amounts are supposed to be type 2 fuzzy variables and treated capacities of facilities are assumed to be type 1 fuzzy variables. The evaluation and expression of uncertainty overcome the drawbacks in describing fuzzy possibility distributions as oversimplified forms. The fuzzy constraints are converted to their crisp equivalents through chance-constrained programming under the same or different confidence levels. Regional waste management of the City of Dalian, China, was used as a case study for demonstration. The solutions under various confidence levels reflect the trade-off between system economy and reliability. It is concluded that the ITFCCP model is capable of helping decision makers to generate reasonable waste-allocation alternatives under uncertainties. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SOLID waste management
*URBAN planning
*FUZZY sets
Subjects
Details
- Language :
- English
- ISSN :
- 0305215X
- Volume :
- 49
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Engineering Optimization
- Publication Type :
- Academic Journal
- Accession number :
- 122254023
- Full Text :
- https://doi.org/10.1080/0305215X.2016.1230206