Municipal solid waste generation modelling based on fuzzy logic

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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

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