%0 Journal Article
%@ 2010376X
%A Bani, M.S.
%A Rashid, Z.A.
%A Hamid, K.H.K.
%A Harbawi, M.E.
%A Alias, A.B.
%A Aris, M.J.
%D 2009
%F scholars:781
%J World Academy of Science, Engineering and Technology
%K Complex relationships; Decision makers; GIS and waste management; Key factors; Optimal allocation; Waste generation; Waste stream, Artificial intelligence; Decision making; Decision support systems; Decision theory; Geographic information systems; Waste incineration, Waste management
%P 161-168
%T The development of decision support system for waste management; a review
%U https://khub.utp.edu.my/scholars/781/
%V 37
%X Most Decision Support Systems (DSS) for waste management (WM) constructed are not widely marketed and lack practical applications. This is due to the number of variables and complexity of the mathematical models which include the assumptions and constraints required in decision making. The approach made by many researchers in DSS modelling is to isolate a few key factors that have a significant influence to the DSS. This segmented approach does not provide a thorough understanding of the complex relationships of the many elements involved. The various elements in constructing the DSS must be integrated and optimized in order to produce a viable model that is marketable and has practical application. The DSS model used in assisting decision makers should be integrated with GIS, able to give robust prediction despite the inherent uncertainties of waste generation and the plethora of waste characteristics, and gives optimal allocation of waste stream for recycling, incineration, landfill and composting. © 2009 WASET.ORG.
%Z cited By 20