In recent decades, municipal solid waste (MSW) management has become one of the major
concerns of human societies. Therefore, an efficient MSW system of collecting, recycling …

In this study a fuzzy chance constrained programming approach is developed for municipal
solid waste management to minimize the net system cost and maximize the revenue …

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 …

In the municipal solid waste (MSW) management system, there are many uncertainties
associated with the coefficients and their impact factors. Uncertainties can be normally …

A double-sided dual-uncertainty-based chance-constrained programming (DDCCP) model
was developed for supporting municipal solid waste management under uncertainty. The …

This study develops a dual inexact fuzzy chance-constrained programming (DIFCCP)
method for planning municipal solid waste (MSW) management systems. The concept of …

Solid waste management (SWM) is increasingly becoming a challenging task for the
municipal authorities due to increasing waste quantities, changing waste composition …

A two-stage double-sided fuzzy version of the chance-constrained mixed-integer
programming (TDFCCMP) model was developed in this study for supporting municipal solid …

Solid waste management is increasingly becoming a challenging task for the municipal
authorities due to increasing waste quantities, changing waste composition, decreasing land …

ABSTRACT A genetic-algorithm-aided fuzzy chance-constrained programming (GAFCCP)
model is developed for supporting municipal solid waste (MSW) management under …