Journal article
Grey fuzzy integer programming: An application to regional waste management planning under uncertainty
Abstract
This paper introduces a grey fuzzy integer programming (GFIP) method and its application to regional solid waste management planning under uncertainty. The GFIP improves upon the existing integer programming methods by incorporating both grey fuzzy linear programming (GFLP) and grey integer programming (GIP) approaches within a general optimization framework. The approach allows uncertainty in both model coefficients and stipulations to be …
Authors
Huang GH; Baetz BW; Patry GG
Journal
Socio-Economic Planning Sciences, Vol. 29, No. 1, pp. 17–38
Publisher
Elsevier
Publication Date
3 1995
DOI
10.1016/0038-0121(95)98604-t
ISSN
0038-0121