Inexact fuzzy-stochastic quadratic programming approach for waste management under multiple uncertainties

In this study, an inexact fuzzy-stochastic quadratic programming (IFSQP) method is developed for effectively allocating waste to available facilities. The IFSQP approach is an extension of the conventional inexact linear programming for handling nonlinear programming in the objective function and multiple uncertainties on parameters in the constraints. The developed IFSQP is applied to a municipal solid waste management system. The objective is …