A fuzzy chance-constrained programming model with type 1 and type 2 fuzzy sets for solid waste management under uncertainty. Issue 6 (3rd June 2017)

• Record Type: Journal Article
• Authors: Ma, Xiaolin; Ma, Chi; Wan, Zhifang; Wang, Kewei
• Is Part Of: Engineering optimization. Volume 49:Issue 6(2017)
• Page Start: 1040
• Page End: 1056
• Publication Date: 2017-06-03
• Subjects: Type 2 fuzzy variable -- chance-constrained programming -- solid waste management -- Dalian; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1230206
• Languages: English
• ISSNs: 0305-215X

Abstract

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.