Municipal solid waste generation modelling based on fuzzy logic

Karadimas, NV; Loumos, V; Orsoni, A

dc.contributor.author	Karadimas, NV	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Orsoni, A	en
dc.date.accessioned	2014-03-01T02:50:34Z
dc.date.available	2014-03-01T02:50:34Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35142
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84857728584&partnerID=40&md5=a653a755517321ede75c709f2e6698b2	en
dc.subject	Fuzzy logic	en
dc.subject	Spatial geodatabase	en
dc.subject	Waste model	en
dc.subject.other	Commercial traffic	en
dc.subject.other	Estimation process	en
dc.subject.other	Geodatabase	en
dc.subject.other	Ground-based analysis	en
dc.subject.other	Industrial activities	en
dc.subject.other	Innovative models	en
dc.subject.other	Municipal solid waste generation	en
dc.subject.other	Optimal number	en
dc.subject.other	Population densities	en
dc.subject.other	Relative information	en
dc.subject.other	Road network	en
dc.subject.other	Waste bins	en
dc.subject.other	Waste production	en
dc.subject.other	Weighting systems	en
dc.subject.other	Bins	en
dc.subject.other	Estimation	en
dc.subject.other	Factor analysis	en
dc.subject.other	Fuzzy logic	en
dc.subject.other	Industry	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Municipal solid waste	en
dc.subject.other	Population statistics	en
dc.subject.other	Computer simulation	en
dc.title	Municipal solid waste generation modelling based on fuzzy logic	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	The present paper introduces an innovative model for the estimation of urban solid waste productivity using an intelligent system based on fuzzy logic. The model retrieves the required information from a spatial Geodatabase, integrated in a GIS environment. The model takes into consideration several parameters of waste production, such as population density, maximum building density, commercial traffic, area and type of shops, road network and its relative information (e.g. road width, dead-end streets, etc) linked with the allocation of waste bins. Additionally, ground-based analysis has been applied for the estimation of the interrelations between the aforementioned factors and the variations in waste production between residential and commercial areas. Therefore, the proposed model follows a unified and correlated categorization approach for all commercial and industrial activities in the area of study using a weighting system for all of the considered factors. The first results from testing the system using different regions, show the effectiveness of the system in the estimation process of the optimal number of waste bins in each region. © ECMS, 2006.	en
heal.journalName	20th European Conference on Modelling and Simulation: Modelling Methodologies and Simulation Key Technologies in Academia and Industry, ECMS 2006	en
dc.identifier.spage	309	en
dc.identifier.epage	314	en