TY  - JOUR
SN  - 2010376X
Y1  - 2009///
EP  - 168
VL  - 37
JF  - World Academy of Science, Engineering and Technology
A1  - Bani, M.S.
A1  - Rashid, Z.A.
A1  - Hamid, K.H.K.
A1  - Harbawi, M.E.
A1  - Alias, A.B.
A1  - Aris, M.J.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651569355&partnerID=40&md5=47f388919c60448439a41c257a3bd73c
AV  - none
TI  - The development of decision support system for waste management; a review
SP  - 161
ID  - scholars781
KW  - Complex relationships; Decision makers; GIS and waste management; Key factors; Optimal allocation; Waste generation; Waste stream
KW  -  Artificial intelligence; Decision making; Decision support systems; Decision theory; Geographic information systems; Waste incineration
KW  -  Waste management
N1  - cited By 20
N2  - 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.
ER  -