TY - JOUR
T1 - An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setubal Peninsula, Portugal
AU - Pires, Ana
AU - Martinho, Maria da Graça Madeira
AU - Chang, Ni Bin
N1 - Sem PDF conforme Despacho.
The authors are grateful for support from the Seixal, Palmela, Almada, Montijo and Moita municipalities, Empresa Geral do Fomento company, Extruplas company, and also to the national associations Plastval, Fileira Metal, Recipac. We acknowledge all the data and reports cited and used in this study. Ana Pires acknowledges FCT for her PhD grant (SFRH/BD/27402/2006).
PY - 2011/11
Y1 - 2011/11
N2 - Recent challenges in solid waste management in Europe are intimately tied to the fulfillment of the prescribed targets of recycling and organic waste recovery in response to the requirements of European Directives. Challenges with characterizing and propagating uncertainty, and validating predictions permeate decision making. In order to retrieve the societal ramifications in decision making, this study integrates the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) for alternative screening and ranking to help decision makers in a Portuguese waste management system. To underscore the role of uncertainty in decision making for alternative ranking, a fuzzy interval multi-attribute decision analysis was carried out to aid in environmental policy decisions. While AHP was used to determine the essential weighting factors, screening and ranking was carried out by TOPSIS under uncertainty expressed by using an interval-valued fuzzy (IVF) method. Such an AHP-based IVF-TOPSIS approach driven by a set of weighting factors associated with the selected criteria has been proven useful for final ranking via an iterative procedure. The practical implementation was assessed by a case study in Setúbal Peninsula, Portugal for the selection of the best waste management practices under an uncertain environment, which is geared toward the target fulfillment in the future.
AB - Recent challenges in solid waste management in Europe are intimately tied to the fulfillment of the prescribed targets of recycling and organic waste recovery in response to the requirements of European Directives. Challenges with characterizing and propagating uncertainty, and validating predictions permeate decision making. In order to retrieve the societal ramifications in decision making, this study integrates the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) for alternative screening and ranking to help decision makers in a Portuguese waste management system. To underscore the role of uncertainty in decision making for alternative ranking, a fuzzy interval multi-attribute decision analysis was carried out to aid in environmental policy decisions. While AHP was used to determine the essential weighting factors, screening and ranking was carried out by TOPSIS under uncertainty expressed by using an interval-valued fuzzy (IVF) method. Such an AHP-based IVF-TOPSIS approach driven by a set of weighting factors associated with the selected criteria has been proven useful for final ranking via an iterative procedure. The practical implementation was assessed by a case study in Setúbal Peninsula, Portugal for the selection of the best waste management practices under an uncertain environment, which is geared toward the target fulfillment in the future.
KW - Waste management
KW - Multi-criteria decision making
KW - Life cycle assessment
KW - Sustainable decisions
KW - Uncertainty
KW - Life cycle assessment
KW - Multi-criteria decision making
KW - Sustainable decisions
KW - Uncertainty
KW - Waste management
U2 - 10.1016/j.resconrec.2011.08.004
DO - 10.1016/j.resconrec.2011.08.004
M3 - Article
VL - 56
SP - 7
EP - 21
JO - Resources, Conservation and Recycling
JF - Resources, Conservation and Recycling
SN - 0921-3449
IS - 1
ER -
