科研之友
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摘要
In the municipal solid waste (MSW) management system, there are many uncertainity associated with the coefficients and their impact factors. Uncertainties can be normally presented as both membership functions and probabilistic distributions. This study describes ops a scenario-based fuzzy-stochastic quadratic programming (SFQP) model for identify an optimal MSW management policy and for allowing dual uncertainties presented probability distributions and fuzzy sets being communicated into the optimization prof It can also reflect the dynamics of uncertainties and decision processes under a comr set of scenarios. The developed method is applied to a case study of long-term MSW ri agement and planning. The results indicate that reasonable solutions have been general They are useful for identifying desired waste-flow-allocation plans and making compromises among system cost, satisfaction degree, and constraint-violation risk.
