Application of system dynamics and fuzzy logic to forecasting of municipal solid waste

Vassilios Karavezyris, Klaus-Peter Timpe and Ruth Marzi

Mathematics and Computers in Simulation (MATCOM), 2002, vol. 60, issue 3, 149-158

Abstract: In this paper a model of waste management systems is presented that is based on system dynamics. Expert knowledge on influences and parameter estimations may seriously vary and thus lead to different simulation results. Linguistic variables are one possible way to deal with the problem of experts describing influences in a qualitative way and the need for quantitative data as a basis for simulation. Applying fuzzy logic may enhance confidence in the validity of the model.

Keywords: Municipal solid waste; Forecasting; System dynamics; Fuzzy logic (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475402000101
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:60:y:2002:i:3:p:149-158

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().